ASUSTeK COMPUTER INC. ROG Ally RC71L_RC71L
Geekbench ML Score
5002
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 03:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2720
509.0 IPS |
|
|
Image Classification (F16)
|
100% |
2796
523.2 IPS |
|
|
Image Classification (I8)
|
100% |
2407
450.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2635
44.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2651
44.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2229
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
35081
42.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
34342
41.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
27378
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
1674
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
1626
121.4 IPS |
|
|
Object Detection (I8)
|
62% |
1626
121.4 IPS |
|
|
Face Detection (F32)
|
100% |
5244
62.4 IPS |
|
|
Face Detection (F16)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (I8)
|
89% |
4097
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15179
117.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15320
118.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
12270
95.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29356
38.6 IPS |
|
|
Style Transfer (F16)
|
100% |
29267
38.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25908
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5763
205.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5875
209.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4561
162.9 IPS |
|
|
Text Classification (F32)
|
100% |
1427
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1488
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1236
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2246
41.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2251
41.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1591
29.3 IPS |
