ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM
Geekbench AI Score
4218
Single Precision Score
4219
Half Precision Score
7217
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | September 27 2024 12:14 PM |
| Views | 3 |
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% |
3325
618.3 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
100% |
5391
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4103
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6655
7.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
13835
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
3067
243.3 IPS |
|
|
Object Detection (HP)
|
100% |
3067
243.3 IPS |
|
|
Object Detection (Q)
|
87% |
5286
423.9 IPS |
|
|
Face Detection (SP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
14501
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8186
63.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
14483
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18351
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18629
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39500
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7961
294.9 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1375
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4075
70.2 IPS |
|
|
Machine Translation (Q)
|
90% |
2612
45.4 IPS |
