LENOVO 10TX0010UK
Geekbench AI Score
1833
Single Precision Score
988
Half Precision Score
2740
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 27 2025 02:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| 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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
96% |
1148
214.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
7249
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
58% |
1910
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (Q)
|
96% |
4515
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4536
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6188
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9035
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7505
9.65 IPS |
|
|
Style Transfer (Q)
|
87% |
9514
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1963
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
603
805.2 IPS |
|
|
Text Classification (Q)
|
97% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1620
31.3 IPS |
