ASUSTeK COMPUTER INC. ELM_PN54
Geekbench ML Score
5041
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 01:41 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ELM_PN54 |
| Motherboard | ASUSTeK COMPUTER INC. ELM_PN54 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1623
303.6 IPS |
|
|
Image Classification (F16)
|
100% |
1587
296.9 IPS |
|
|
Image Classification (I8)
|
100% |
1407
263.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3206
53.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3230
53.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2716
45.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
32236
39.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
32767
39.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24322
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
1332
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (I8)
|
62% |
1232
92.0 IPS |
|
|
Face Detection (F32)
|
100% |
5026
59.8 IPS |
|
|
Face Detection (F16)
|
100% |
4955
58.9 IPS |
|
|
Face Detection (I8)
|
89% |
3899
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12758
98.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
12793
99.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
10201
79.1 IPS |
|
|
Style Transfer (F32)
|
100% |
48259
63.5 IPS |
|
|
Style Transfer (F16)
|
100% |
50043
65.8 IPS |
|
|
Style Transfer (I8)
|
98% |
39106
51.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8463
302.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8474
302.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5802
207.2 IPS |
|
|
Text Classification (F32)
|
100% |
1943
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1856
2.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1362
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
2295
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2299
42.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1257
23.1 IPS |
