LENOVO 83DF
Geekbench AI Score
4959
Single Precision Score
1617
Half Precision Score
8425
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | D31lux |
| Upload Date | January 04 2026 02:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
3735
694.6 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
6526
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10733
174.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9367
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
28579
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
6879
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
11884
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10898
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11943
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17310
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21556
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10796
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26198
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3132
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5378
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1464
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3364
67.6 IPS |
