Lenovo ThinkCentre M920q - i5-8500T LENOVO 10RRS3D300
Geekbench AI Score
949
Single Precision Score
1103
Half Precision Score
776
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 06 2025 11:46 PM |
| Views | 7 |
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 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% |
398
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (Q)
|
100% |
409
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
498
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
2270
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3620
4.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
2079
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
98% |
493
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
444
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
816
9.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2119
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1477
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
8702
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5023
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1640
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
900
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.6 IPS |
|
|
Text Classification (Q)
|
97% |
281
377.0 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
70% |
276
5.18 IPS |
