Lenovo ThinkCentre M900 - i5-6500T LENOVO 10FLS1R000
Geekbench AI Score
537
Single Precision Score
330
Half Precision Score
465
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 06 2025 11:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
365
5.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
97% |
892
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
86% |
296
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (Q)
|
97% |
630
7.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
977
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
587
4.53 IPS |
|
|
Depth Estimation (Q)
|
77% |
875
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1840
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1472
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1740
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.4 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.1 IPS |
|
|
Text Classification (Q)
|
97% |
182
244.3 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
96% |
246
4.25 IPS |
|
|
Machine Translation (Q)
|
70% |
221
4.14 IPS |
