Lenovo ThinkCentre M920q - i5-8500T LENOVO 10RRS3D300
Geekbench AI Score
2071
Single Precision Score
888
Half Precision Score
2905
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 06 2025 11:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10RRS3D300 |
| Motherboard | LENOVO 3136 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
2844
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2942
3.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
6271
7.41 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1664
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.42 IPS |
|
|
Face Detection (Q)
|
96% |
4181
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1137
8.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
5475
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8419
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6465
8.31 IPS |
|
|
Style Transfer (Q)
|
87% |
9208
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2288
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.7 IPS |
|
|
Text Classification (Q)
|
97% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1548
29.9 IPS |
