LENOVO 90K800CWIN
Geekbench ML Score
692
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | epikgamedev |
| Upload Date | August 06 2025 08:11 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 90K800CWIN |
| Motherboard | LENOVO 3140 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 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 | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
301
56.4 IPS |
|
|
Image Classification (F16)
|
100% |
346
64.8 IPS |
|
|
Image Classification (I8)
|
97% |
660
123.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
4.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
278
4.64 IPS |
|
|
Image Segmentation (I8)
|
97% |
624
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1336
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
1267
1.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
2877
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
342
25.5 IPS |
|
|
Object Detection (F16)
|
100% |
353
26.3 IPS |
|
|
Object Detection (I8)
|
60% |
419
31.3 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
506
6.01 IPS |
|
|
Face Detection (I8)
|
87% |
959
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1125
8.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
1253
9.71 IPS |
|
|
Depth Estimation (I8)
|
74% |
2270
17.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2454
3.23 IPS |
|
|
Style Transfer (F16)
|
100% |
2873
3.78 IPS |
|
|
Style Transfer (I8)
|
85% |
3447
4.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
330
11.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
614
21.9 IPS |
|
|
Text Classification (F32)
|
100% |
495
712.0 IPS |
|
|
Text Classification (F16)
|
100% |
338
486.2 IPS |
|
|
Text Classification (I8)
|
94% |
308
442.6 IPS |
|
|
Machine Translation (F32)
|
100% |
475
8.74 IPS |
|
|
Machine Translation (F16)
|
100% |
713
13.1 IPS |
|
|
Machine Translation (I8)
|
67% |
694
12.8 IPS |
