LENOVO 10AY001RUS
Geekbench ML Score
511
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | jcpenni |
| Upload Date | August 17 2024 08:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10AY001RUS |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4130T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
260
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
251
47.1 IPS |
|
|
Image Classification (I8)
|
97% |
374
69.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
3.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
232
3.88 IPS |
|
|
Image Segmentation (I8)
|
97% |
290
4.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
840
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
782
0.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
917
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
260
19.4 IPS |
|
|
Object Detection (F16)
|
100% |
272
20.3 IPS |
|
|
Object Detection (I8)
|
60% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
433
5.15 IPS |
|
|
Face Detection (F16)
|
100% |
444
5.27 IPS |
|
|
Face Detection (I8)
|
87% |
686
8.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
882
6.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
900
6.98 IPS |
|
|
Depth Estimation (I8)
|
74% |
1152
8.94 IPS |
|
|
Style Transfer (F32)
|
100% |
2008
2.64 IPS |
|
|
Style Transfer (F16)
|
100% |
1943
2.56 IPS |
|
|
Style Transfer (I8)
|
85% |
2037
2.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
482
17.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
476
17.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
531
18.9 IPS |
|
|
Text Classification (F32)
|
100% |
399
573.0 IPS |
|
|
Text Classification (F16)
|
100% |
422
605.8 IPS |
|
|
Text Classification (I8)
|
94% |
185
266.6 IPS |
|
|
Machine Translation (F32)
|
100% |
451
8.30 IPS |
|
|
Machine Translation (F16)
|
100% |
452
8.31 IPS |
|
|
Machine Translation (I8)
|
67% |
519
9.54 IPS |
