LENOVO 11FJ008FMB
Geekbench AI Score
1641
Single Precision Score
819
Half Precision Score
2525
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 08:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11FJ008FMB |
| Motherboard | LENOVO 3184 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
96% |
1993
372.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
2154
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
5758
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
58% |
1505
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (Q)
|
96% |
3529
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3495
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
4880
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6955
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5934
7.63 IPS |
|
|
Style Transfer (Q)
|
87% |
6675
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2389
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.3 IPS |
|
|
Text Classification (Q)
|
97% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
