ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
20812
Single Precision Score
26111
Half Precision Score
17002
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mattskr |
| Upload Date | July 17 2025 01:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10078
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
11240
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
9409
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17726
287.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14507
235.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15199
247.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
82543
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
144547
168.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
79378
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
6936
550.1 IPS |
|
|
Object Detection (HP)
|
100% |
10512
833.8 IPS |
|
|
Object Detection (Q)
|
87% |
6587
529.1 IPS |
|
|
Face Detection (SP)
|
100% |
27261
323.9 IPS |
|
|
Face Detection (HP)
|
100% |
38711
460.0 IPS |
|
|
Face Detection (Q)
|
97% |
22862
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
46143
355.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55306
426.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38471
308.5 IPS |
|
|
Style Transfer (SP)
|
100% |
159909
205.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251543
323.4 IPS |
|
|
Style Transfer (Q)
|
98% |
145586
187.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29355
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36924
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24142
893.9 IPS |
|
|
Text Classification (SP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2670
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6593
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7551
130.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3271
61.4 IPS |
