LENOVO 83DF
Geekbench AI Score
7738
Single Precision Score
7755
Half Precision Score
17231
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 11 2025 03:38 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% |
4837
899.6 IPS |
|
|
Image Classification (HP)
|
100% |
4823
897.0 IPS |
|
|
Image Classification (Q)
|
100% |
10471
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11385
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8887
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8856
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32456
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
4560
361.7 IPS |
|
|
Object Detection (Q)
|
88% |
11267
903.2 IPS |
|
|
Face Detection (SP)
|
100% |
13102
155.7 IPS |
|
|
Face Detection (HP)
|
100% |
13244
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
26179
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11371
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11526
88.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30001
233.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26294
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26463
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91443
117.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17661
654.1 IPS |
|
|
Text Classification (SP)
|
100% |
4228
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6219
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6876
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6725
115.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6713
115.6 IPS |
