LENOVO 10T8SFV200
Geekbench AI Score
247
Single Precision Score
190
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | anupdebnath7 |
| Upload Date | March 04 2025 10:53 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Gold G5400T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 10T8SFV200 |
| Motherboard | LENOVO 312D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium Gold G5400T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
96% |
386
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
312
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
644
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (Q)
|
58% |
247
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
96% |
696
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
684
5.45 IPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
87% |
1226
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
328
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.6 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.3 IPS |
|
|
Text Classification (Q)
|
97% |
182
244.1 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (Q)
|
68% |
462
8.94 IPS |
