V14 Iris Lenovo - 82NM LENOVO 82NM
Geekbench AI Score
2512
Single Precision Score
2690
Half Precision Score
1630
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:26 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.2 IPS |
|
|
Image Classification (Q)
|
100% |
992
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1189
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11137
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5240
6.14 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
98% |
1229
97.8 IPS |
|
|
Object Detection (Q)
|
86% |
1145
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
1680
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6164
47.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3773
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22146
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30561
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13283
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3087
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1300
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
701
936.1 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.0 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.9 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
70% |
412
7.73 IPS |
