ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
1395
Single Precision Score
1218
Half Precision Score
3221
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | April 30 2025 03:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.3 IPS |
|
|
Image Classification (Q)
|
100% |
1852
344.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
890
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
4664
5.46 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
88% |
9526
763.6 IPS |
|
|
Face Detection (SP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (Q)
|
100% |
3113
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1402
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1408
10.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
3705
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4978
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
28742
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42654
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2500
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.5 IPS |
|
|
Text Classification (HP)
|
100% |
535
713.6 IPS |
|
|
Text Classification (Q)
|
92% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1355
23.3 IPS |
