Lenovo Think Centre M920S i5 8600T 16GB 512 LENOVO 10SKS1WL00
Geekbench AI Score
914
Single Precision Score
1070
Half Precision Score
755
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | konopek1971 |
| Upload Date | November 28 2025 12:41 PM |
| Views | 4 |
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 10SKS1WL00 |
| Motherboard | LENOVO 3132 |
| Power Plan | Zrwnowaony |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
100% |
396
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
2051
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (HP)
|
98% |
479
38.1 IPS |
|
|
Object Detection (Q)
|
86% |
433
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
816
9.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2087
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1455
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5764
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8644
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4953
6.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
879
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.6 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.0 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.0 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.94 IPS |
