ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM
Geekbench AI Score
12887
Single Precision Score
21546
Half Precision Score
8711
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | August 25 2024 07:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| 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% |
5284
982.7 IPS |
|
|
Image Classification (HP)
|
99% |
8594
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
3939
732.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8358
135.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12237
198.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6499
105.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
68066
79.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
177802
207.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
56798
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
6367
505.1 IPS |
|
|
Object Detection (HP)
|
100% |
11004
872.8 IPS |
|
|
Object Detection (Q)
|
89% |
4930
394.8 IPS |
|
|
Face Detection (SP)
|
100% |
13833
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
21251
252.5 IPS |
|
|
Face Detection (Q)
|
97% |
10502
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31954
246.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60732
467.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
20907
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
114110
146.7 IPS |
|
|
Style Transfer (HP)
|
100% |
291755
375.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93470
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20041
740.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31848
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12824
474.8 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2993
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1092
24.4 IPS |
