ASUS ROG Flow Z13 ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
2709
Single Precision Score
2743
Half Precision Score
7328
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 11 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | PD Turbo |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1786
332.2 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
4729
879.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4342
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2661
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3923
4.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
13655
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
88% |
3753
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
5447
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
5691
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
13673
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3949
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3767
29.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
15293
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11180
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9827
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28681
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5692
210.8 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3190
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3900
67.2 IPS |
