ASUS ROG Flow Z13 ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
5211
Single Precision Score
1844
Half Precision Score
8687
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 11 2025 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4561
848.1 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (Q)
|
99% |
10677
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3363
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13316
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9676
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
43794
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4096
324.9 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
11996
964.1 IPS |
|
|
Face Detection (SP)
|
100% |
10084
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
11085
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14099
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2541
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10094
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27551
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22893
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48974
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3422
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3954
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.5 IPS |
|
|
Text Classification (Q)
|
97% |
1651
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3627
72.9 IPS |
