LENOVO 10T7002CUS
Geekbench AI Score
1219
Single Precision Score
1216
Half Precision Score
663
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 14 2026 11:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8400T |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | LENOVO 10T7002CUS |
| Motherboard | LENOVO 312D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.3 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1318
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.2 IPS |
|
|
Object Detection (Q)
|
85% |
472
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
984
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1440
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1423
11.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
929
8.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1860
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2659
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
688
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
303
407.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
58% |
276
6.48 IPS |
