LENOVO 83EM
Geekbench AI Score
2726
Single Precision Score
1075
Half Precision Score
4744
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pieschy |
| Upload Date | December 11 2024 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83EM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
4096
763.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2549
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4268
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
14503
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
4131
332.0 IPS |
|
|
Face Detection (SP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6248
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5498
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1390
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10242
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9670
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6451
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
15364
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3116
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
573
765.1 IPS |
|
|
Text Classification (Q)
|
97% |
1323
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
65% |
2280
45.8 IPS |
