Lenovo ThinkCentre M920s LENOVO 10SKS2PV00
Geekbench AI Score
957
Single Precision Score
1112
Half Precision Score
775
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 25 2025 01:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10SKS2PV00 |
| Motherboard | LENOVO 3132 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.6 IPS |
|
|
Image Classification (Q)
|
100% |
415
77.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
494
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3615
4.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
2081
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
98% |
492
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
449
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
922
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
780
9.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
1702
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2128
16.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1460
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5796
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
8712
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4934
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
897
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.0 IPS |
|
|
Text Classification (HP)
|
100% |
308
410.7 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.3 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
70% |
279
5.24 IPS |
