ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
6690
Single Precision Score
6556
Half Precision Score
18225
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 01:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| 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% |
4442
826.1 IPS |
|
|
Image Classification (HP)
|
100% |
4339
807.0 IPS |
|
|
Image Classification (Q)
|
100% |
11925
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4620
74.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4892
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13292
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8822
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
39842
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
3669
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
3856
305.8 IPS |
|
|
Object Detection (Q)
|
88% |
12297
985.8 IPS |
|
|
Face Detection (SP)
|
100% |
10898
129.5 IPS |
|
|
Face Detection (HP)
|
100% |
10426
123.9 IPS |
|
|
Face Detection (Q)
|
100% |
35725
424.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11816
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10092
77.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28148
219.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22195
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22677
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82063
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5225
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4310
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15672
580.4 IPS |
|
|
Text Classification (SP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5880
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6848
118.0 IPS |
