LENOVO 10TX0010UK
Geekbench AI Score
2126
Single Precision Score
977
Half Precision Score
2994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | July 02 2025 02:29 PM |
| Views | 7 |
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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
96% |
2723
508.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
6980
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
58% |
1919
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
4535
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4656
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6252
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9220
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7835
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9525
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2023
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
586
781.7 IPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1635
31.6 IPS |
