LENOVO 83JE
Geekbench AI Score
2358
Single Precision Score
3665
Half Precision Score
5621
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 15 2025 05:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (Q)
|
99% |
3594
670.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4069
4.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
3123
3.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
12591
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
98% |
2153
171.3 IPS |
|
|
Object Detection (Q)
|
90% |
3820
305.4 IPS |
|
|
Face Detection (SP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7261
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
9413
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4694
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7759
60.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10698
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10438
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29128
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3102
114.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6268
232.1 IPS |
|
|
Text Classification (SP)
|
71% |
898
1.30 KIPS |
|
|
Text Classification (HP)
|
71% |
1159
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2047
35.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2076
35.8 IPS |
