LENOVO 83JE
Geekbench AI Score
2639
Single Precision Score
4004
Half Precision Score
6195
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 20 2025 09:49 AM |
| Views | 9 |
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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (Q)
|
99% |
4001
746.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4013
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4586
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4338
5.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
13004
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
98% |
2350
187.0 IPS |
|
|
Object Detection (Q)
|
90% |
4336
346.7 IPS |
|
|
Face Detection (SP)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8024
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
10556
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8462
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11625
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11245
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17387
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29613
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3291
121.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6684
247.5 IPS |
|
|
Text Classification (SP)
|
71% |
1135
1.64 KIPS |
|
|
Text Classification (HP)
|
71% |
1407
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2418
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2415
41.6 IPS |
