ASUS ROG Flow Z13 ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
22193
Single Precision Score
27572
Half Precision Score
17917
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 11 2025 11:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
10928
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
12082
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9958
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16795
272.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14153
229.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14634
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
97342
113.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
159758
186.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
88944
104.2 IPS |
|
|
Object Detection (SP)
|
100% |
7258
575.7 IPS |
|
|
Object Detection (HP)
|
100% |
11544
915.7 IPS |
|
|
Object Detection (Q)
|
87% |
7010
563.0 IPS |
|
|
Face Detection (SP)
|
100% |
28339
336.7 IPS |
|
|
Face Detection (HP)
|
100% |
39167
465.4 IPS |
|
|
Face Detection (Q)
|
97% |
23630
281.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49536
381.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
61447
473.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
41736
334.7 IPS |
|
|
Style Transfer (SP)
|
100% |
189816
244.0 IPS |
|
|
Style Transfer (HP)
|
100% |
290031
372.8 IPS |
|
|
Style Transfer (Q)
|
98% |
162840
210.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34440
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42562
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27481
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4147
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2798
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5876
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6508
112.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3039
57.0 IPS |
