LENOVO 10TX0010UK
Geekbench AI Score
2479
Single Precision Score
2582
Half Precision Score
3809
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | September 09 2025 05:40 PM |
| Views | 6 |
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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.4 IPS |
|
|
Image Classification (Q)
|
100% |
1551
288.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1933
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3810
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
4928
5.78 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (Q)
|
87% |
3068
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
8195
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4553
35.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8638
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11675
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11797
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23654
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4330
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2611
45.0 IPS |
