ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench ML Score
5253
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 06:55 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1945
364.0 IPS |
|
|
Image Classification (F16)
|
100% |
1923
359.8 IPS |
|
|
Image Classification (I8)
|
99% |
5636
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3291
55.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17466
21.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
16904
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
48293
58.5 IPS |
|
|
Object Detection (F32)
|
100% |
2117
158.0 IPS |
|
|
Object Detection (F16)
|
100% |
2130
159.0 IPS |
|
|
Object Detection (I8)
|
62% |
2444
182.5 IPS |
|
|
Face Detection (F32)
|
100% |
4099
48.7 IPS |
|
|
Face Detection (F16)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (I8)
|
89% |
6477
77.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10155
78.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10517
81.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
22552
174.9 IPS |
|
|
Style Transfer (F32)
|
100% |
31189
41.0 IPS |
|
|
Style Transfer (F16)
|
100% |
32002
42.1 IPS |
|
|
Style Transfer (I8)
|
98% |
51948
68.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4610
164.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4511
161.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5993
214.0 IPS |
|
|
Text Classification (F32)
|
100% |
1777
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1742
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1334
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3312
60.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3182
58.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4851
89.3 IPS |
