ASUSTeK COMPUTER INC. ROG Ally X RC72LA_RC72LA
Geekbench ML Score
2471
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 04:08 AM |
| 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% |
1234
230.9 IPS |
|
|
Image Classification (F16)
|
100% |
1298
242.8 IPS |
|
|
Image Classification (I8)
|
99% |
2995
560.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1624
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3990
4.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5362
6.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
18188
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1339
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (I8)
|
62% |
1200
89.6 IPS |
|
|
Face Detection (F32)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (F16)
|
100% |
2579
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
3733
44.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5015
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5577
43.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
10631
82.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8842
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9509
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
18746
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1912
68.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1787
63.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2623
93.7 IPS |
|
|
Text Classification (F32)
|
100% |
1162
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1323
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
253
363.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1465
27.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1754
32.3 IPS |
