LENOVO 83JJ
Geekbench AI Score
3881
Single Precision Score
1511
Half Precision Score
7326
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 02:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3089
574.5 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (Q)
|
99% |
5861
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8686
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
21606
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2946
233.7 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
6063
487.3 IPS |
|
|
Face Detection (SP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
9611
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14160
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13466
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9576
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20581
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5328
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
748
998.9 IPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3018
60.6 IPS |
