V14 Iris Lenovo - 82NM LENOVO 82NM
Geekbench AI Score
2901
Single Precision Score
4230
Half Precision Score
6700
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:39 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82NM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.7 IPS |
|
|
Image Classification (Q)
|
99% |
3699
689.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4616
74.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6125
99.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
4095
4.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
18733
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (Q)
|
90% |
3964
316.9 IPS |
|
|
Face Detection (SP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7269
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
11126
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10703
82.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14055
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14866
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24579
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62013
80.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9104
337.1 IPS |
|
|
Text Classification (SP)
|
71% |
800
1.16 KIPS |
|
|
Text Classification (HP)
|
71% |
1027
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1421
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1544
26.7 IPS |
