LENOVO 83JH
Geekbench AI Score
2653
Single Precision Score
4034
Half Precision Score
6214
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JH |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.4 IPS |
|
|
Image Classification (Q)
|
99% |
3998
745.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4596
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4347
5.07 IPS |
|
|
Pose Estimation (HP)
|
99% |
3165
3.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
13030
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
98% |
2339
186.1 IPS |
|
|
Object Detection (Q)
|
90% |
4368
349.2 IPS |
|
|
Face Detection (SP)
|
100% |
5141
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
7915
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
10405
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5061
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8517
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11627
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11275
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17598
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29856
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3326
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6743
249.7 IPS |
|
|
Text Classification (SP)
|
71% |
1173
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1527
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2436
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2419
41.7 IPS |
