AAEON MIX-MTLD1
Geekbench ML Score
2429
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 07:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AAEON MIX-MTLD1 |
| Motherboard | AAEON MIX-MTLD1 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1410
263.8 IPS |
|
|
Image Classification (F16)
|
100% |
1427
267.0 IPS |
|
|
Image Classification (I8)
|
100% |
1120
209.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1382
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1151
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8667
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8956
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
6809
8.25 IPS |
|
|
Object Detection (F32)
|
100% |
1339
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1415
105.7 IPS |
|
|
Object Detection (I8)
|
54% |
1048
78.2 IPS |
|
|
Face Detection (F32)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (I8)
|
89% |
1323
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6041
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5810
45.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
4396
34.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23745
31.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23318
30.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15745
20.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4662
166.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4574
163.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2697
96.3 IPS |
|
|
Text Classification (F32)
|
90% |
730
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
751
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
521
748.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1028
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (I8)
|
70% |
635
11.7 IPS |
