ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
7669
Single Precision Score
8813
Half Precision Score
5123
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 21 2024 05:59 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3018
561.3 IPS |
|
|
Image Classification (HP)
|
100% |
3158
587.2 IPS |
|
|
Image Classification (Q)
|
100% |
1475
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4568
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5657
91.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3753
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47680
55.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
77252
90.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34094
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
3023
239.8 IPS |
|
|
Object Detection (Q)
|
89% |
2089
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
6120
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
10385
123.4 IPS |
|
|
Face Detection (Q)
|
97% |
4764
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17392
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24516
188.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
13026
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76958
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117725
151.3 IPS |
|
|
Style Transfer (Q)
|
98% |
51639
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13597
502.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8158
301.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6397
236.9 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1390
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1109
24.7 IPS |
