LENOVO 83DF
Geekbench AI Score
4600
Single Precision Score
1351
Half Precision Score
7690
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 08:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3676
683.7 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
5878
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10974
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9266
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4216
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
27627
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3554
281.9 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
6501
522.5 IPS |
|
|
Face Detection (SP)
|
100% |
11122
132.1 IPS |
|
|
Face Detection (HP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
9965
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10269
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15626
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20602
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10282
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22808
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3100
114.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4592
170.0 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
528
704.1 IPS |
|
|
Text Classification (Q)
|
97% |
1242
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
65% |
3085
62.0 IPS |
