LENOVO 83KX
Geekbench AI Score
1817
Single Precision Score
774
Half Precision Score
3548
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | amAlzAm |
| Upload Date | April 18 2026 08:17 PM |
| Views | 5 |
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 83KX |
| 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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
99% |
2977
555.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
3522
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
10389
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
86% |
2980
239.5 IPS |
|
|
Face Detection (SP)
|
100% |
3807
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4222
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3766
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
7140
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7217
9.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4991
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
12686
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2442
90.4 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.8 IPS |
|
|
Text Classification (Q)
|
97% |
656
878.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1593
32.0 IPS |
