LENOVO 12U2S5SJ00
Geekbench ML Score
3763
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 11:32 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | LENOVO 12U2S5SJ00 |
| Motherboard | LENOVO 334B |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 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% |
1994
373.1 IPS |
|
|
Image Classification (F16)
|
100% |
1991
372.6 IPS |
|
|
Image Classification (I8)
|
99% |
3358
628.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1635
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2960
49.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7603
9.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
7609
9.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
24157
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
1936
144.5 IPS |
|
|
Object Detection (F16)
|
100% |
1878
140.2 IPS |
|
|
Object Detection (I8)
|
62% |
1699
126.8 IPS |
|
|
Face Detection (F32)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (I8)
|
89% |
3973
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7790
60.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7704
59.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13689
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17362
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
17304
22.8 IPS |
|
|
Style Transfer (I8)
|
98% |
19324
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3289
117.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3286
117.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4699
167.8 IPS |
|
|
Text Classification (F32)
|
100% |
1342
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1313
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1012
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1912
35.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1881
34.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2718
50.0 IPS |
