Lenovo ThinkCentre M900 - i5-6500T LENOVO 10FLS1R000
Geekbench AI Score
1411
Single Precision Score
672
Half Precision Score
1924
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 06 2025 11:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10FLS1R000 |
| Motherboard | LENOVO 30D0 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.8 IPS |
|
|
Image Classification (Q)
|
96% |
1434
267.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1703
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
3547
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (Q)
|
58% |
1048
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1992
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
96% |
2895
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
3506
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5102
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3891
5.00 IPS |
|
|
Style Transfer (Q)
|
87% |
6369
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1596
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.9 IPS |
|
|
Text Classification (Q)
|
97% |
658
881.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1131
21.8 IPS |
