ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM
Geekbench AI Score
4119
Single Precision Score
4212
Half Precision Score
7202
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | September 28 2024 12:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HS with Radeon Graphics |
| 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% |
3286
611.0 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
100% |
5361
997.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4126
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6672
7.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
13840
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (Q)
|
87% |
5281
423.6 IPS |
|
|
Face Detection (SP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
97% |
14626
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7373
56.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
14864
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18185
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18713
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39444
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3774
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8002
296.4 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (Q)
|
90% |
2629
45.7 IPS |
