ASUS ROG Flow Z13 ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
10448
Single Precision Score
10579
Half Precision Score
24077
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 20 2025 11:51 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5076
944.0 IPS |
|
|
Image Classification (HP)
|
100% |
5003
930.4 IPS |
|
|
Image Classification (Q)
|
100% |
11799
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6896
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17571
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22589
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22961
26.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
84602
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
5989
475.0 IPS |
|
|
Object Detection (HP)
|
100% |
6022
477.7 IPS |
|
|
Object Detection (Q)
|
88% |
14109
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
13332
158.4 IPS |
|
|
Face Detection (HP)
|
100% |
14139
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
37350
443.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18962
146.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18363
141.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
48668
378.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53818
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56387
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
211799
273.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10547
389.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10926
403.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28129
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4524
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6152
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5400
93.0 IPS |
