AAEON MIX-MTLD1
Geekbench ML Score
2545
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 07:06 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1315
246.2 IPS |
|
|
Image Classification (F16)
|
100% |
1366
255.6 IPS |
|
|
Image Classification (I8)
|
99% |
2660
497.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1059
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1162
19.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2171
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4393
5.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
4363
5.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
15599
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1381
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
1277
95.4 IPS |
|
|
Object Detection (I8)
|
62% |
1386
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (I8)
|
89% |
2833
33.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4642
36.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4870
37.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
10810
83.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10700
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10938
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
11975
15.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2431
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2466
88.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3874
138.4 IPS |
|
|
Text Classification (F32)
|
100% |
1079
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
436
627.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1465
27.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1715
31.6 IPS |
