LENOVO 83JH
Geekbench AI Score
4837
Single Precision Score
1578
Half Precision Score
8533
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| 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% |
3998
743.5 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
99% |
6511
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11329
184.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9244
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4325
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
29422
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3711
294.3 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
7059
567.4 IPS |
|
|
Face Detection (SP)
|
100% |
11231
133.4 IPS |
|
|
Face Detection (HP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
11047
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10497
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2121
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17159
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19669
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10262
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26161
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3190
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5574
206.4 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (Q)
|
97% |
1451
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3331
66.9 IPS |
