Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO
Geekbench ML Score
3658
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:57 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% |
1957
366.2 IPS |
|
|
Image Classification (F16)
|
100% |
1879
351.5 IPS |
|
|
Image Classification (I8)
|
99% |
3377
632.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1780
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1663
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2778
46.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7930
9.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
8001
9.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
24652
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
1843
137.6 IPS |
|
|
Object Detection (F16)
|
100% |
1862
139.0 IPS |
|
|
Object Detection (I8)
|
62% |
1630
121.7 IPS |
|
|
Face Detection (F32)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (I8)
|
89% |
3700
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7521
58.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7524
58.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12666
98.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16980
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
17292
22.7 IPS |
|
|
Style Transfer (I8)
|
98% |
18296
24.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2881
102.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3807
136.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5062
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
1471
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1492
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
395
568.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2025
37.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1975
36.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2673
49.2 IPS |
