ASUSTeK COMPUTER INC. Zephyrus M GU502GV_GU502GV
Geekbench AI Score
1362
Single Precision Score
661
Half Precision Score
1747
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 18 2025 04:01 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zephyrus M GU502GV_GU502GV |
| Motherboard | ASUSTeK COMPUTER INC. GU502GV |
| Power Plan | Power Saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.3 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
3647
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
58% |
1077
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
96% |
3007
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2601
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
4283
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5555
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4199
5.40 IPS |
|
|
Style Transfer (Q)
|
87% |
7868
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1464
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
421
562.3 IPS |
|
|
Text Classification (Q)
|
97% |
285
382.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1218
23.5 IPS |
