ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
9399
Single Precision Score
9567
Half Precision Score
23100
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kmbenches |
| Upload Date | August 22 2025 08:11 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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5220
970.7 IPS |
|
|
Image Classification (HP)
|
100% |
5225
971.7 IPS |
|
|
Image Classification (Q)
|
100% |
12447
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6704
108.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6981
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18969
307.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18043
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17513
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
62535
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
5714
453.2 IPS |
|
|
Object Detection (HP)
|
100% |
5493
435.7 IPS |
|
|
Object Detection (Q)
|
88% |
14251
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
11899
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
13508
160.5 IPS |
|
|
Face Detection (Q)
|
100% |
37350
443.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15266
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16071
123.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42222
328.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46731
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45220
58.1 IPS |
|
|
Style Transfer (Q)
|
98% |
164999
212.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8082
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8650
319.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25574
947.1 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4420
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6161
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6444
111.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6992
120.4 IPS |
