LENOVO 83ES
Geekbench AI Score
1935
Single Precision Score
882
Half Precision Score
2637
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 24 2024 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
2182
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2413
2.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
10834
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
88% |
1300
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
3006
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3972
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1293
9.96 IPS |
|
|
Depth Estimation (Q)
|
77% |
5093
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7046
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5775
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
12431
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2873
106.4 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
401
534.9 IPS |
|
|
Text Classification (Q)
|
97% |
424
567.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
60% |
1477
33.0 IPS |
