LENOVO 82RF
Geekbench AI Score
4481
Single Precision Score
6004
Half Precision Score
9123
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Physicist |
| Upload Date | July 14 2025 07:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2774
515.9 IPS |
|
|
Image Classification (HP)
|
100% |
4176
776.6 IPS |
|
|
Image Classification (Q)
|
99% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4091
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6441
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8124
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9633
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7040
8.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
29029
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
3710
294.3 IPS |
|
|
Object Detection (Q)
|
90% |
5887
470.7 IPS |
|
|
Face Detection (SP)
|
100% |
7412
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
10935
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
16009
190.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9076
69.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
14622
113.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18760
145.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25019
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35569
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64184
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6280
231.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11484
425.3 IPS |
|
|
Text Classification (SP)
|
71% |
1251
1.81 KIPS |
|
|
Text Classification (HP)
|
71% |
1371
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
1323
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1770
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1776
30.6 IPS |
