LENOVO 82S9
Geekbench AI Score
2082
Single Precision Score
887
Half Precision Score
3993
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AhmadAlsaedi1342 |
| Upload Date | March 24 2025 02:02 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82S9 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
99% |
3693
688.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2041
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3574
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
12712
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
86% |
4210
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
5439
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4321
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1324
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8962
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8193
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5692
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
7948
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2643
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
522
697.2 IPS |
|
|
Text Classification (Q)
|
97% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
65% |
2097
42.1 IPS |
