ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW
Geekbench ML Score
2172
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 06:04 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 | Turbo |
| 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% |
1366
255.7 IPS |
|
|
Image Classification (F16)
|
100% |
1317
246.5 IPS |
|
|
Image Classification (I8)
|
97% |
1815
339.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1367
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4013
4.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
4364
5.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
6954
8.42 IPS |
|
|
Object Detection (F32)
|
100% |
1249
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1290
96.3 IPS |
|
|
Object Detection (I8)
|
60% |
1120
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
1594
19.0 IPS |
|
|
Face Detection (F16)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (I8)
|
87% |
2609
31.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3326
25.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3532
27.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
6664
51.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10073
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9744
12.8 IPS |
|
|
Style Transfer (I8)
|
85% |
11007
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2010
71.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1956
69.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2287
81.7 IPS |
|
|
Text Classification (F32)
|
100% |
1222
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (I8)
|
94% |
952
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1639
30.2 IPS |
