LENOVO 10S7S42M00
Geekbench AI Score
1478
Single Precision Score
661
Half Precision Score
2117
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10S7S42M00 |
| Motherboard | LENOVO 3122 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
893
166.1 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.7 IPS |
|
|
Image Classification (Q)
|
96% |
1473
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
2072
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
4588
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
58% |
1106
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (Q)
|
96% |
3176
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2939
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
862
6.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
4097
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6392
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4931
6.34 IPS |
|
|
Style Transfer (Q)
|
87% |
7259
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1707
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
396
528.3 IPS |
|
|
Text Classification (Q)
|
97% |
614
822.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1182
22.8 IPS |
