ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW
Geekbench ML Score
1944
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 05:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW |
| Motherboard | ASUSTeK COMPUTER INC. GU502LW |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1078
201.8 IPS |
|
|
Image Classification (F16)
|
100% |
1145
214.2 IPS |
|
|
Image Classification (I8)
|
97% |
1617
302.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1398
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3617
4.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
3716
4.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
6678
8.09 IPS |
|
|
Object Detection (F32)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (F16)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (I8)
|
60% |
1052
78.5 IPS |
|
|
Face Detection (F32)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (I8)
|
87% |
2387
28.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3693
28.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3700
28.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
5900
45.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8704
11.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8829
11.6 IPS |
|
|
Style Transfer (I8)
|
85% |
9133
12.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1690
60.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1687
60.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2049
73.2 IPS |
|
|
Text Classification (F32)
|
100% |
1030
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1030
1.48 KIPS |
|
|
Text Classification (I8)
|
94% |
743
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1516
27.9 IPS |
