LENOVO 83DF
Geekbench AI Score
4031
Single Precision Score
1109
Half Precision Score
9784
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 11 2025 03:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2465
458.4 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
97% |
9292
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
4840
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
28927
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
86% |
8625
693.2 IPS |
|
|
Face Detection (SP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (Q)
|
97% |
19070
227.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7659
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18680
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15802
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11554
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34606
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3179
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6506
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
689
920.1 IPS |
|
|
Text Classification (Q)
|
97% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4613
92.7 IPS |
