LENOVO 83JE
Geekbench AI Score
5989
Single Precision Score
6001
Half Precision Score
13192
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 20 2025 09:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3921
729.3 IPS |
|
|
Image Classification (HP)
|
100% |
3978
739.8 IPS |
|
|
Image Classification (Q)
|
100% |
8802
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5043
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4991
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9484
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7168
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
25187
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (HP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (Q)
|
88% |
8506
681.9 IPS |
|
|
Face Detection (SP)
|
100% |
10511
124.9 IPS |
|
|
Face Detection (HP)
|
100% |
10323
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
19917
236.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8787
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8771
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22129
172.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19888
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20328
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67681
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4142
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4229
156.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13109
485.5 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (Q)
|
92% |
4839
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4791
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4768
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4717
81.3 IPS |
