LENOVO 10T8SFV200
Geekbench AI Score
846
Single Precision Score
1266
Half Precision Score
1221
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | anupdebnath7 |
| Upload Date | March 05 2025 06:41 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 610 (iGPU) |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (Q)
|
100% |
832
154.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1247
1.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
1276
1.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
1767
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
864
68.8 IPS |
|
|
Object Detection (Q)
|
88% |
805
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
2469
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4556
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4300
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
71% |
384
555.8 IPS |
|
|
Text Classification (HP)
|
71% |
478
691.8 IPS |
|
|
Text Classification (Q)
|
92% |
388
521.5 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
97% |
616
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
635
11.0 IPS |
