ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
7668
Single Precision Score
7575
Half Precision Score
20000
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 09:03 AM |
| Views | 6 |
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% |
5375
999.6 IPS |
|
|
Image Classification (HP)
|
100% |
5808
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13227
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5162
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5685
92.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16692
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12171
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11855
13.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
43876
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
5120
406.1 IPS |
|
|
Object Detection (HP)
|
100% |
5640
447.3 IPS |
|
|
Object Detection (Q)
|
88% |
14499
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10705
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
10769
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
38862
461.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13129
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12227
94.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36897
287.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33669
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31035
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81419
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3653
134.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12273
454.5 IPS |
|
|
Text Classification (SP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6609
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5708
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7702
132.7 IPS |
