LENOVO 10TX0010UK
Geekbench AI Score
2694
Single Precision Score
2521
Half Precision Score
4428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | May 12 2025 01:42 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (Q)
|
100% |
2424
450.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
5215
6.12 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
1897
150.4 IPS |
|
|
Object Detection (Q)
|
87% |
3219
258.2 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
8192
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5040
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3050
23.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
8799
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11957
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11879
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23605
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4693
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
91% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2786
48.0 IPS |
