Lenovo ThinkCentre M920q - i5-8500T LENOVO 10RRS3D300
Geekbench AI Score
2701
Single Precision Score
2723
Half Precision Score
3925
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 07 2025 12:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500T CPU @ 2.10GHz |
| 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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (Q)
|
100% |
2542
472.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3716
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
6984
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
1651
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (Q)
|
87% |
2695
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (Q)
|
97% |
7139
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4418
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4397
33.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7368
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9947
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10257
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19260
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3930
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (Q)
|
91% |
638
857.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2360
40.6 IPS |
