Lenovo ThinkCentre M920q - i5-8500T LENOVO 10RRS3D300
Geekbench AI Score
1596
Single Precision Score
2376
Half Precision Score
2276
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 07 2025 12:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1024
190.5 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (Q)
|
100% |
1431
266.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1997
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
2366
2.77 IPS |
|
|
Pose Estimation (Q)
|
97% |
3525
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
99% |
1613
128.3 IPS |
|
|
Object Detection (Q)
|
88% |
1501
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
4281
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2988
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5088
39.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4630
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7161
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
9615
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8744
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.4 IPS |
|
|
Text Classification (SP)
|
71% |
634
916.7 IPS |
|
|
Text Classification (HP)
|
71% |
737
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
565
758.6 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1226
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1222
21.1 IPS |
