ASUSTeK COMPUTER INC. ROG Ally RC71L_RC71L
Geekbench ML Score
4387
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 07:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Ally RC71L_RC71L |
| Motherboard | ASUSTeK COMPUTER INC. RC71L |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1871
350.1 IPS |
|
|
Image Classification (F16)
|
100% |
1904
356.2 IPS |
|
|
Image Classification (I8)
|
100% |
1625
304.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2658
44.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2647
44.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2307
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
32390
39.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
32358
39.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24186
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
1751
130.8 IPS |
|
|
Object Detection (F16)
|
100% |
1750
130.7 IPS |
|
|
Object Detection (I8)
|
62% |
1595
119.1 IPS |
|
|
Face Detection (F32)
|
100% |
5017
59.7 IPS |
|
|
Face Detection (F16)
|
100% |
5020
59.7 IPS |
|
|
Face Detection (I8)
|
89% |
3745
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11957
92.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12012
93.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
9382
72.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29486
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
29385
38.7 IPS |
|
|
Style Transfer (I8)
|
98% |
25602
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5115
182.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5140
183.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3763
134.4 IPS |
|
|
Text Classification (F32)
|
100% |
1278
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1281
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
812
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1933
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1906
35.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1158
21.3 IPS |
