LENOVO 83EM
Geekbench AI Score
2240
Single Precision Score
758
Half Precision Score
4144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LMzahrani |
| Upload Date | March 19 2025 12:48 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
99% |
4253
793.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2599
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
9027
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
3853
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
5681
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3756
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
8531
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11881
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2708
100.3 IPS |
|
|
Text Classification (SP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1958
39.3 IPS |
