LENOVO 10TX0010UK
Geekbench AI Score
2579
Single Precision Score
2621
Half Precision Score
4230
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | July 02 2025 02:33 PM |
| Views | 5 |
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% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (Q)
|
100% |
2139
397.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4202
4.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
8353
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
87% |
3132
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
8030
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5169
39.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6861
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8760
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8638
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23875
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2444
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4792
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
91% |
721
969.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2601
44.8 IPS |
