LENOVO 83DF
Geekbench AI Score
7548
Single Precision Score
7555
Half Precision Score
17284
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 26 2025 02:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14650HX |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4692
872.6 IPS |
|
|
Image Classification (HP)
|
100% |
4775
888.1 IPS |
|
|
Image Classification (Q)
|
100% |
10786
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5986
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5923
96.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11722
190.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8228
9.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
30232
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (HP)
|
100% |
4457
353.6 IPS |
|
|
Object Detection (Q)
|
88% |
11521
923.5 IPS |
|
|
Face Detection (SP)
|
100% |
12894
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
12863
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
25999
308.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10922
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11100
85.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
29778
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25029
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24925
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88702
114.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18074
669.4 IPS |
|
|
Text Classification (SP)
|
100% |
4346
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
92% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6923
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6778
116.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6815
117.4 IPS |
