LENOVO 82RF
Geekbench AI Score
3690
Single Precision Score
1433
Half Precision Score
6111
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KazamiKazuki |
| Upload Date | February 04 2025 08:03 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
2806
521.9 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
5201
970.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2911
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
19941
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
5316
427.3 IPS |
|
|
Face Detection (SP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8218
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2012
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13508
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14580
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9807
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23309
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4034
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
686
916.1 IPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2785
56.0 IPS |
