Lenovo Think Centre M920S i5 8600T 16GB 512 LENOVO 10SKS1WL00
Geekbench AI Score
2408
Single Precision Score
1065
Half Precision Score
3475
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | konopek1971 |
| Upload Date | November 28 2025 12:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
96% |
2810
524.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
3453
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3497
4.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
7580
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
58% |
2006
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
5092
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1378
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6280
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9820
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7817
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10578
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2827
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.5 IPS |
|
|
Text Classification (Q)
|
97% |
1039
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (Q)
|
68% |
1755
33.9 IPS |
