LENOVO 10TX0010UK
Geekbench AI Score
2879
Single Precision Score
2911
Half Precision Score
4473
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 24 2025 09:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10TX0010UK |
| Motherboard | LENOVO 3140 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1896
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.5 IPS |
|
|
Image Classification (Q)
|
100% |
2925
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4349
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4341
5.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
8339
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (Q)
|
87% |
3040
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
2736
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
7847
93.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5017
38.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
8432
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11618
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11740
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23018
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4694
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
91% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2456
42.3 IPS |
