Lenovo ThinkCentre M710t LENOVO 10MAS4FE00
Geekbench AI Score
1077
Single Precision Score
1083
Half Precision Score
789
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 11 2025 03:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10MAS4FE00 |
| Motherboard | LENOVO 3102 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
196
36.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
4774
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
4040
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
268
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
514
6.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1600
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8682
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5460
7.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6974
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1257
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
529
705.8 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.6 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1029
17.8 IPS |
|
|
Machine Translation (Q)
|
70% |
419
7.86 IPS |
