ASUSTeK COMPUTER INC. ROG Ally X RC72LA_RC72LA
Geekbench ML Score
3342
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2024 02:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Ally X RC72LA_RC72LA |
| Motherboard | ASUSTeK COMPUTER INC. RC72LA |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1892
354.1 IPS |
|
|
Image Classification (F16)
|
100% |
1896
354.7 IPS |
|
|
Image Classification (I8)
|
99% |
4535
848.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1018
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2189
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7321
8.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
6837
8.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
21976
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
1871
139.7 IPS |
|
|
Object Detection (F16)
|
100% |
1779
132.8 IPS |
|
|
Object Detection (I8)
|
62% |
1761
131.5 IPS |
|
|
Face Detection (F32)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (F16)
|
100% |
2948
35.1 IPS |
|
|
Face Detection (I8)
|
89% |
4341
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6865
53.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7376
57.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13561
105.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14036
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14989
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22717
29.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2515
89.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3186
113.8 IPS |
|
|
Text Classification (F32)
|
100% |
1667
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1796
2.58 KIPS |
|
|
Text Classification (I8)
|
98% |
366
525.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1833
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1928
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2313
42.6 IPS |
