LENOVO 83ES
Geekbench AI Score
2612
Single Precision Score
2620
Half Precision Score
6193
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 24 2024 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83ES |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1796
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
100% |
4179
777.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3775
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3084
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
10402
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (Q)
|
88% |
3769
302.1 IPS |
|
|
Face Detection (SP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
9531
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4045
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4109
31.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10122
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8528
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8929
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30153
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6322
234.1 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1727
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2839
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2574
44.3 IPS |
