ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
7682
Single Precision Score
6990
Half Precision Score
19020
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:58 AM |
| Views | 3 |
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% |
5464
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
4948
920.1 IPS |
|
|
Image Classification (Q)
|
100% |
12188
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5502
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4823
78.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17604
285.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12412
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11781
13.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
47415
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5011
397.5 IPS |
|
|
Object Detection (HP)
|
100% |
4770
378.3 IPS |
|
|
Object Detection (Q)
|
88% |
13302
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
11135
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
10734
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
34656
411.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11535
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12352
95.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36660
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31853
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19901
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67781
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12354
457.5 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (Q)
|
92% |
5643
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5205
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4955
85.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7627
131.4 IPS |
