LENOVO 83KX
Geekbench AI Score
185
Single Precision Score
109
Half Precision Score
219
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | RRBakhsh |
| Upload Date | April 18 2026 12:04 PM |
| Views | 4 |
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% |
1213
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
22
4.07 IPS |
|
|
Image Classification (Q)
|
99% |
56
10.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
46
0.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
66
5.23 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.55 IPS |
|
|
Object Detection (Q)
|
86% |
91
7.35 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.63 IPS |
|
|
Face Detection (HP)
|
100% |
71
0.85 IPS |
|
|
Face Detection (Q)
|
97% |
1635
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
221
1.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
104
0.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
277
2.21 IPS |
|
|
Style Transfer (SP)
|
100% |
874
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
842
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1194
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
95
3.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.03 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
137
5.09 IPS |
|
|
Text Classification (SP)
|
100% |
33
44.5 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.0 IPS |
|
|
Text Classification (Q)
|
97% |
49
65.5 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (HP)
|
100% |
37
0.64 IPS |
|
|
Machine Translation (Q)
|
65% |
124
2.49 IPS |
