LENOVO 82FE
Geekbench AI Score
2925
Single Precision Score
4508
Half Precision Score
7647
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kasid |
| Upload Date | September 22 2025 04:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1911
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
99% |
4608
859.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4314
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6805
110.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7078
8.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
5441
6.35 IPS |
|
|
Pose Estimation (Q)
|
97% |
25164
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (HP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (Q)
|
90% |
4906
392.2 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
12479
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6357
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11340
87.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16169
125.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17206
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28826
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54755
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9247
342.5 IPS |
|
|
Text Classification (SP)
|
71% |
952
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1044
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1068
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1614
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1619
27.9 IPS |
