ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench ML Score
17376
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 07:00 PM |
| Views | 6 |
System Information
| 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 | 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8781
1.64 KIPS |
|
|
Image Classification (F16)
|
100% |
8766
1.64 KIPS |
|
|
Image Classification (I8)
|
100% |
7859
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15819
264.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14959
249.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11817
197.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
90804
110.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
87129
105.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
77080
93.3 IPS |
|
|
Object Detection (F32)
|
100% |
4391
327.8 IPS |
|
|
Object Detection (F16)
|
100% |
4303
321.3 IPS |
|
|
Object Detection (I8)
|
62% |
4480
334.5 IPS |
|
|
Face Detection (F32)
|
100% |
22987
273.3 IPS |
|
|
Face Detection (F16)
|
100% |
19594
233.0 IPS |
|
|
Face Detection (I8)
|
89% |
15843
188.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
39548
306.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
42732
331.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
39158
303.7 IPS |
|
|
Style Transfer (F32)
|
100% |
172279
226.6 IPS |
|
|
Style Transfer (F16)
|
100% |
164503
216.4 IPS |
|
|
Style Transfer (I8)
|
98% |
145165
191.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29791
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31014
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23846
851.6 IPS |
|
|
Text Classification (F32)
|
100% |
3806
5.47 KIPS |
|
|
Text Classification (F16)
|
100% |
3842
5.52 KIPS |
|
|
Text Classification (I8)
|
98% |
2673
3.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
5772
106.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5765
106.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3251
59.8 IPS |
