LENOVO 90T00003US
Geekbench ML Score
3557
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 15 2025 03:46 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90T00003US |
| Motherboard | LENOVO 3741 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1885
352.8 IPS |
|
|
Image Classification (F16)
|
100% |
1889
353.4 IPS |
|
|
Image Classification (I8)
|
99% |
3547
663.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1616
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1635
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2722
45.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6818
8.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
7013
8.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
21886
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
1777
132.7 IPS |
|
|
Object Detection (F16)
|
100% |
1793
133.8 IPS |
|
|
Object Detection (I8)
|
62% |
1562
116.6 IPS |
|
|
Face Detection (F32)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (F16)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (I8)
|
89% |
3698
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7315
56.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7219
56.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12727
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15440
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
15502
20.4 IPS |
|
|
Style Transfer (I8)
|
98% |
17359
22.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3259
116.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3340
119.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4255
152.0 IPS |
|
|
Text Classification (F32)
|
100% |
1502
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1411
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1179
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2616
48.2 IPS |
