LENOVO 83FD
Geekbench AI Score
4283
Single Precision Score
1414
Half Precision Score
6890
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 09:39 PM |
| Views | 3 |
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 83FD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3214
597.7 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
99% |
5804
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3332
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8254
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
25870
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
6028
484.5 IPS |
|
|
Face Detection (SP)
|
100% |
9077
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9409
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9892
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15413
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19190
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10409
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25391
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4661
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.8 IPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2958
59.4 IPS |
