LENOVO 10MV001NMT
Geekbench AI Score
1672
Single Precision Score
531
Half Precision Score
2470
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 14 2025 03:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700T |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 10MV001NMT |
| Motherboard | LENOVO 310B |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1022
190.0 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
94% |
1983
370.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2712
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2077
2.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
4597
5.43 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
1452
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (Q)
|
96% |
4636
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
4616
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5001
6.43 IPS |
|
|
Style Transfer (Q)
|
87% |
7815
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1715
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.4 IPS |
|
|
Text Classification (Q)
|
97% |
1041
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
68% |
1576
30.4 IPS |
