LENOVO 10TX0010UK
Geekbench AI Score
2258
Single Precision Score
2333
Half Precision Score
3271
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | September 09 2025 05:19 PM |
| 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 | Balanced |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
100% |
2274
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2371
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
4421
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (Q)
|
87% |
2022
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
5404
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4130
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4061
31.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8129
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7420
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7831
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15916
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3616
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
597
802.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1928
33.2 IPS |
