ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
23553
Single Precision Score
32155
Half Precision Score
18793
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | July 22 2025 07:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| 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% |
11324
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
12668
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10789
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20550
333.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16277
263.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17464
284.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107719
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
256037
298.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
94881
111.1 IPS |
|
|
Object Detection (SP)
|
100% |
7149
567.0 IPS |
|
|
Object Detection (HP)
|
100% |
12058
956.5 IPS |
|
|
Object Detection (Q)
|
87% |
6999
562.1 IPS |
|
|
Face Detection (SP)
|
100% |
29809
354.2 IPS |
|
|
Face Detection (HP)
|
100% |
44932
533.9 IPS |
|
|
Face Detection (Q)
|
97% |
24677
294.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51465
396.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
69017
531.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
43789
351.2 IPS |
|
|
Style Transfer (SP)
|
100% |
202338
260.1 IPS |
|
|
Style Transfer (HP)
|
100% |
367157
472.0 IPS |
|
|
Style Transfer (Q)
|
98% |
174548
225.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36569
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53530
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28094
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2637
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6703
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7497
129.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3144
59.0 IPS |
