Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO
Geekbench ML Score
3157
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:53 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 | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1684
315.1 IPS |
|
|
Image Classification (F16)
|
100% |
1800
336.9 IPS |
|
|
Image Classification (I8)
|
99% |
2770
518.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1474
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1488
24.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2228
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7536
9.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
7430
9.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
18863
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1682
125.6 IPS |
|
|
Object Detection (F16)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (I8)
|
62% |
1411
105.3 IPS |
|
|
Face Detection (F32)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (F16)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (I8)
|
89% |
3352
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6873
53.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6795
52.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11176
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16685
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17002
22.4 IPS |
|
|
Style Transfer (I8)
|
98% |
17851
23.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2731
97.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3052
109.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4044
144.4 IPS |
|
|
Text Classification (F32)
|
100% |
1107
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
350
502.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1477
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2138
39.3 IPS |
