LENOVO 20AV005GGE
Geekbench ML Score
582
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 12:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20AV005GGE |
| Motherboard | LENOVO 20AV005GGE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.59 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
341
63.8 IPS |
|
|
Image Classification (F16)
|
100% |
323
60.4 IPS |
|
|
Image Classification (I8)
|
97% |
393
73.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
277
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
266
4.44 IPS |
|
|
Image Segmentation (I8)
|
97% |
352
5.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
945
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
838
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
946
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
350
26.1 IPS |
|
|
Object Detection (F16)
|
100% |
320
23.9 IPS |
|
|
Object Detection (I8)
|
60% |
355
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
639
7.59 IPS |
|
|
Face Detection (F16)
|
100% |
626
7.44 IPS |
|
|
Face Detection (I8)
|
87% |
835
9.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
1047
8.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
1163
9.02 IPS |
|
|
Depth Estimation (I8)
|
74% |
965
7.48 IPS |
|
|
Style Transfer (F32)
|
100% |
2015
2.65 IPS |
|
|
Style Transfer (F16)
|
100% |
2197
2.89 IPS |
|
|
Style Transfer (I8)
|
85% |
2113
2.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
551
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
483
17.3 IPS |
|
|
Text Classification (F32)
|
100% |
439
630.3 IPS |
|
|
Text Classification (F16)
|
100% |
403
579.5 IPS |
|
|
Text Classification (I8)
|
94% |
192
275.3 IPS |
|
|
Machine Translation (F32)
|
100% |
527
9.69 IPS |
|
|
Machine Translation (F16)
|
100% |
524
9.63 IPS |
|
|
Machine Translation (I8)
|
67% |
593
10.9 IPS |
