LENOVO 82RF
Geekbench AI Score
3259
Single Precision Score
1338
Half Precision Score
6172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hooverbw |
| Upload Date | October 13 2025 02:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2432
452.2 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
4784
892.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6538
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5214
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
16424
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
4874
391.7 IPS |
|
|
Face Detection (SP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
7904
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6768
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1958
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12662
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13576
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8987
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21114
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4603
170.4 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.1 IPS |
|
|
Text Classification (Q)
|
97% |
1233
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2672
53.7 IPS |
