ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM
Geekbench AI Score
12858
Single Precision Score
21751
Half Precision Score
8784
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | September 27 2024 12:10 PM |
| Views | 7 |
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% |
5194
965.9 IPS |
|
|
Image Classification (HP)
|
99% |
8988
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
4002
744.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8126
131.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12253
198.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6729
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
67164
78.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
175360
204.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
56107
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
6502
515.8 IPS |
|
|
Object Detection (HP)
|
100% |
11136
883.3 IPS |
|
|
Object Detection (Q)
|
89% |
5022
402.2 IPS |
|
|
Face Detection (SP)
|
100% |
13772
163.6 IPS |
|
|
Face Detection (HP)
|
100% |
21819
259.3 IPS |
|
|
Face Detection (Q)
|
97% |
10624
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31569
243.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61420
473.2 IPS |
|
|
Depth Estimation (Q)
|
71% |
20671
171.7 IPS |
|
|
Style Transfer (SP)
|
100% |
113920
146.4 IPS |
|
|
Style Transfer (HP)
|
100% |
296871
381.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92926
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20459
755.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32603
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13011
481.8 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2857
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
