ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
7524
Single Precision Score
7622
Half Precision Score
19372
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 09:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX 390 w/ Radeon 8050S |
| 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 | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max 390 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5118
951.7 IPS |
|
|
Image Classification (HP)
|
100% |
4806
893.7 IPS |
|
|
Image Classification (Q)
|
100% |
12730
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5198
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16262
263.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12631
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12130
14.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
48280
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
4709
373.5 IPS |
|
|
Object Detection (HP)
|
100% |
5115
405.8 IPS |
|
|
Object Detection (Q)
|
88% |
13081
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10573
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
11037
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
37381
444.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12058
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13451
103.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36419
283.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31596
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27589
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69223
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13180
488.1 IPS |
|
|
Text Classification (SP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
92% |
5531
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5604
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6239
107.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8288
142.8 IPS |
