LENOVO 83ESML LENOVO 83ES
Geekbench AI Score
1576
Single Precision Score
1578
Half Precision Score
1015
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 25 2024 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
527
98.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5445
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6225
7.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
3437
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
98% |
650
51.7 IPS |
|
|
Object Detection (Q)
|
89% |
583
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1016
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3006
23.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3335
25.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
2167
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11651
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15891
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8302
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.7 IPS |
|
|
Text Classification (HP)
|
100% |
272
362.9 IPS |
|
|
Text Classification (Q)
|
97% |
329
440.5 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
60% |
267
5.95 IPS |
