LENOVO 82FE
Geekbench AI Score
2093
Single Precision Score
2414
Half Precision Score
1347
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kasid |
| Upload Date | September 22 2025 04:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1002
186.4 IPS |
|
|
Image Classification (HP)
|
100% |
1110
206.5 IPS |
|
|
Image Classification (Q)
|
100% |
864
160.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
900
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7218
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
9798
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4339
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
98% |
1112
88.5 IPS |
|
|
Object Detection (Q)
|
86% |
963
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
1248
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4489
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5615
43.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3097
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17985
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24404
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9820
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.6 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.3 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.4 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
376
7.05 IPS |
