LENOVO 83DG
Geekbench AI Score
4285
Single Precision Score
1390
Half Precision Score
6707
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:15 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
3608
671.0 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
5845
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3384
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4050
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
23892
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
6179
496.6 IPS |
|
|
Face Detection (SP)
|
100% |
9023
107.2 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
8837
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8727
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1726
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13952
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19761
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10505
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23516
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4493
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
654
873.6 IPS |
|
|
Text Classification (Q)
|
97% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3234
65.0 IPS |
