LENOVO 83JE
Geekbench AI Score
4152
Single Precision Score
1547
Half Precision Score
7566
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3400
632.2 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
6469
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9509
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7153
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4121
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
23234
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
729
57.9 IPS |
|
|
Object Detection (Q)
|
86% |
6298
506.2 IPS |
|
|
Face Detection (SP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
9979
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2062
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14992
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17482
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10220
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17319
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5735
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3185
64.0 IPS |
