ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
8160
Single Precision Score
8383
Half Precision Score
22389
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | November 20 2025 09:09 AM |
| Views | 6 |
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 Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Silent |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4699
873.8 IPS |
|
|
Image Classification (HP)
|
100% |
4784
889.7 IPS |
|
|
Image Classification (Q)
|
100% |
12347
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15835
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12842
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12111
14.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
47452
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (HP)
|
100% |
5235
415.3 IPS |
|
|
Object Detection (Q)
|
88% |
13285
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11373
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
11463
136.2 IPS |
|
|
Face Detection (Q)
|
100% |
40453
480.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13262
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13961
107.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
42682
332.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33141
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34603
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
150780
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7157
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24529
908.4 IPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7067
121.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9422
162.3 IPS |
