Lenovo ThinkCentre M710 i5-7400T (2017) LENOVO 10MR000XMT
Geekbench AI Score
1551
Single Precision Score
1534
Half Precision Score
2440
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 16 2025 11:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7400T CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 10MR000XMT |
| Motherboard | LENOVO 3111 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
4041
4.74 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (Q)
|
87% |
1689
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
4149
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2468
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2468
19.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4544
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5738
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5616
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
11335
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2360
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (Q)
|
91% |
556
747.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1525
26.3 IPS |
