Lenovo ThinkCentre M910q i7-7700T (2017) LENOVO 10MV001NMT
Geekbench AI Score
2182
Single Precision Score
2226
Half Precision Score
3319
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 14 2025 03:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700T CPU @ 2.90GHz |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.5 IPS |
|
|
Image Classification (Q)
|
100% |
2264
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
4950
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
87% |
2239
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
5836
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3389
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3475
26.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5842
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7637
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
7635
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14389
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3069
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2335
40.2 IPS |
