LENOVO 83EL
Geekbench AI Score
2505
Single Precision Score
977
Half Precision Score
4522
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | smhuraib |
| Upload Date | April 11 2025 10:34 AM |
| Views | 14 |
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 83EL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1950
362.6 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
99% |
4311
804.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
4402
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
5826
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4957
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9893
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8499
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5543
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
14763
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2750
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
532
709.7 IPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
65% |
2617
52.6 IPS |
