ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
3417
Single Precision Score
3477
Half Precision Score
8015
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 21 2024 06:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
100% |
4615
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
25177
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (Q)
|
88% |
4097
328.4 IPS |
|
|
Face Detection (SP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
5863
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
11267
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
12428
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15927
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17293
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
62446
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10345
383.1 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (Q)
|
85% |
3475
60.7 IPS |
