Lenovo ThinkCentre M910q i7-7700T LENOVO 10MV001NMT
Geekbench AI Score
1075
Single Precision Score
1067
Half Precision Score
636
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 14 2025 02:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
779
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.3 IPS |
|
|
Image Classification (Q)
|
99% |
408
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
469
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1088
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (HP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (Q)
|
85% |
450
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
937
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1260
9.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
881
8.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1422
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2250
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
1111
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
340
456.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
58% |
292
6.86 IPS |
