LENOVO 82FE
Geekbench AI Score
4069
Single Precision Score
4101
Half Precision Score
2997
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kasid |
| Upload Date | September 22 2025 04:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX450 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | LENOVO 82FE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (Q)
|
99% |
1451
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1916
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14622
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12673
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12431
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1937
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (Q)
|
83% |
1678
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (Q)
|
97% |
3122
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9664
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9193
70.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7356
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33674
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25417
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26770
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.4 IPS |
|
|
Text Classification (Q)
|
97% |
632
846.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1738
30.0 IPS |
|
|
Machine Translation (Q)
|
70% |
696
13.0 IPS |
