Lenovo Think Centre M920S i5 8600T 16GB 512 LENOVO 10SKS1WL00
Geekbench AI Score
3184
Single Precision Score
3190
Half Precision Score
4771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | konopek1971 |
| Upload Date | November 28 2025 12:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500 CPU @ 3.00GHz |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (Q)
|
100% |
3159
587.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4391
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
8505
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
2005
159.1 IPS |
|
|
Object Detection (Q)
|
87% |
3309
265.4 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
8637
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5349
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5221
40.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
8912
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11939
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12079
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23362
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4831
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (Q)
|
91% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2758
47.5 IPS |
