ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM
Geekbench AI Score
2816
Single Precision Score
772
Half Precision Score
3059
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | August 25 2024 06:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM |
| Motherboard | ASUSTeK COMPUTER INC. GA503RM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
97% |
3294
614.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1924
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4936
5.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
11823
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
1897
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
3300
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6912
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
972
7.49 IPS |
|
|
Depth Estimation (Q)
|
76% |
5892
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14077
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11498
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15382
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2600
96.4 IPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.8 IPS |
|
|
Text Classification (Q)
|
97% |
413
552.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1572
35.1 IPS |
