LENOVO 82RB
Geekbench AI Score
3233
Single Precision Score
1348
Half Precision Score
3921
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:07 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RB |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
99% |
3420
637.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3914
4.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
19937
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
88% |
1969
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
4030
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6941
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1889
14.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7841
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14373
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9876
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21411
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2547
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3803
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
595
794.5 IPS |
|
|
Text Classification (Q)
|
97% |
460
616.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2155
48.1 IPS |
