Lenovo ThinkCentre M910q i5-7500T (2017) LENOVO 10MV0015MT
Geekbench AI Score
1963
Single Precision Score
1965
Half Precision Score
2953
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 14 2025 10:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7500T CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 10MV0015MT |
| Motherboard | LENOVO 310B |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (HP)
|
100% |
1168
217.2 IPS |
|
|
Image Classification (Q)
|
100% |
1963
365.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2524
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
4681
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
1139
90.4 IPS |
|
|
Object Detection (Q)
|
87% |
1984
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
5046
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3117
24.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5253
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6881
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13376
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2780
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (Q)
|
91% |
647
869.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2041
35.2 IPS |
