LENOVO 20VXCTO1WW
Geekbench ML Score
1836
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 08:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Business (64-bit) |
| Model | LENOVO 20VXCTO1WW |
| Motherboard | LENOVO 20VXCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
833
156.0 IPS |
|
|
Image Classification (F16)
|
100% |
1111
207.8 IPS |
|
|
Image Classification (I8)
|
99% |
2190
409.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
642
10.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1399
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3064
3.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
3042
3.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
10260
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
986
73.6 IPS |
|
|
Object Detection (F16)
|
100% |
698
52.1 IPS |
|
|
Object Detection (I8)
|
62% |
1206
90.0 IPS |
|
|
Face Detection (F32)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
2680
31.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3010
23.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3349
26.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8401
65.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7076
9.31 IPS |
|
|
Style Transfer (F16)
|
100% |
6528
8.59 IPS |
|
|
Style Transfer (I8)
|
98% |
10427
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1565
55.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1571
56.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2874
102.6 IPS |
|
|
Text Classification (F32)
|
100% |
1206
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1209
1.74 KIPS |
|
|
Text Classification (I8)
|
98% |
339
487.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1207
22.2 IPS |
