LENOVO 10TX0010UK
Geekbench AI Score
2401
Single Precision Score
2438
Half Precision Score
3842
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | September 09 2025 05:47 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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (Q)
|
100% |
2857
531.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
4775
5.60 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (Q)
|
87% |
2685
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
8385
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4915
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8259
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11812
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11840
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23818
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2497
92.5 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
91% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2533
43.6 IPS |
