ASUS ROG Flow Z13 ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
5824
Single Precision Score
2190
Half Precision Score
9851
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 20 2025 11:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Turbo |
| 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% |
4038
750.9 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.1 IPS |
|
|
Image Classification (Q)
|
99% |
10259
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3787
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22251
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12356
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
61025
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
4438
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
894
71.0 IPS |
|
|
Object Detection (Q)
|
86% |
11554
928.5 IPS |
|
|
Face Detection (SP)
|
100% |
8951
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12536
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14156
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3421
26.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11398
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34127
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27031
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59308
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3912
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
702
936.4 IPS |
|
|
Text Classification (Q)
|
97% |
1675
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4423
88.9 IPS |
