ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
22565
Single Precision Score
30098
Half Precision Score
18100
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 08 2025 10:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 | 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% |
11176
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
12427
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10310
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17288
280.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14027
227.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15026
244.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
104937
122.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
242334
282.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
92878
108.8 IPS |
|
|
Object Detection (SP)
|
100% |
7431
589.4 IPS |
|
|
Object Detection (HP)
|
100% |
11459
909.0 IPS |
|
|
Object Detection (Q)
|
87% |
7003
562.5 IPS |
|
|
Face Detection (SP)
|
100% |
28001
332.7 IPS |
|
|
Face Detection (HP)
|
100% |
40613
482.6 IPS |
|
|
Face Detection (Q)
|
97% |
23653
282.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49938
384.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65858
507.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
41825
335.4 IPS |
|
|
Style Transfer (SP)
|
100% |
190221
244.5 IPS |
|
|
Style Transfer (HP)
|
100% |
348965
448.6 IPS |
|
|
Style Transfer (Q)
|
98% |
167808
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35416
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49073
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27198
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2792
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6473
111.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2972
55.7 IPS |
