LENOVO 83JE
Geekbench AI Score
2198
Single Precision Score
2198
Half Precision Score
5483
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 15 2025 05:15 AM |
| Views | 6 |
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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (Q)
|
100% |
4348
808.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3956
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2267
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2424
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
9190
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
88% |
3463
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
6733
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2701
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2792
21.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
7711
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7549
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
7712
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
28766
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6919
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
2606
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1667
28.7 IPS |
