Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO
Geekbench ML Score
12327
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO |
| Motherboard | Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6162
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
5740
1.07 KIPS |
|
|
Image Classification (I8)
|
100% |
4438
830.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8279
138.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8486
141.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7626
127.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
74163
89.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
73737
89.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
66696
80.8 IPS |
|
|
Object Detection (F32)
|
100% |
4745
354.2 IPS |
|
|
Object Detection (F16)
|
100% |
4535
338.5 IPS |
|
|
Object Detection (I8)
|
61% |
4549
339.6 IPS |
|
|
Face Detection (F32)
|
100% |
16470
195.8 IPS |
|
|
Face Detection (F16)
|
100% |
15841
188.4 IPS |
|
|
Face Detection (I8)
|
89% |
13425
159.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
34146
264.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
30209
234.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
26433
205.0 IPS |
|
|
Style Transfer (F32)
|
100% |
128636
169.2 IPS |
|
|
Style Transfer (F16)
|
100% |
114656
150.8 IPS |
|
|
Style Transfer (I8)
|
98% |
103896
136.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21942
783.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21010
750.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16209
578.9 IPS |
|
|
Text Classification (F32)
|
100% |
2892
4.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2890
4.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1446
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2802
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2831
52.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1691
31.1 IPS |
