ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
22295
Single Precision Score
31192
Half Precision Score
17524
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11731
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
12834
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10649
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19114
309.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15959
258.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16074
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
99607
116.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
234183
273.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
87720
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
6039
479.0 IPS |
|
|
Object Detection (HP)
|
100% |
11643
923.5 IPS |
|
|
Object Detection (Q)
|
87% |
5833
468.5 IPS |
|
|
Face Detection (SP)
|
100% |
29219
347.2 IPS |
|
|
Face Detection (HP)
|
100% |
43250
513.9 IPS |
|
|
Face Detection (Q)
|
97% |
23533
280.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49156
378.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67702
521.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
39372
315.7 IPS |
|
|
Style Transfer (SP)
|
100% |
181778
233.7 IPS |
|
|
Style Transfer (HP)
|
100% |
338026
434.5 IPS |
|
|
Style Transfer (Q)
|
98% |
159871
206.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34735
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50710
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27286
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2607
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7933
136.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
