ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
5043
Single Precision Score
5057
Half Precision Score
12734
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 24 2024 09:51 PM |
| Views | 3 |
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% |
2811
522.8 IPS |
|
|
Image Classification (HP)
|
100% |
3026
562.8 IPS |
|
|
Image Classification (Q)
|
100% |
7837
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7280
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8210
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
8246
9.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
32103
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2882
228.6 IPS |
|
|
Object Detection (HP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (Q)
|
88% |
8535
684.2 IPS |
|
|
Face Detection (SP)
|
100% |
8794
104.5 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
20414
242.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8767
67.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
21261
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21106
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21008
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78859
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4299
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13785
510.5 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3251
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (Q)
|
85% |
4676
81.7 IPS |
