LENOVO 10T8SFV200
Geekbench AI Score
520
Single Precision Score
631
Half Precision Score
419
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | anupdebnath7 |
| Upload Date | March 05 2025 06:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 610 |
| 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% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (Q)
|
100% |
234
43.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
270
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
1019
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (HP)
|
98% |
279
22.2 IPS |
|
|
Object Detection (Q)
|
86% |
233
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
516
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
97% |
459
5.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
918
7.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
1134
8.76 IPS |
|
|
Depth Estimation (Q)
|
77% |
731
5.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2695
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4241
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.5 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.0 IPS |
|
|
Text Classification (Q)
|
97% |
176
235.3 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (Q)
|
70% |
168
3.15 IPS |
