LENOVO 83FD
Geekbench AI Score
3850
Single Precision Score
1327
Half Precision Score
6006
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 09:25 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% |
3017
561.0 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
5152
961.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3152
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7391
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
23111
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2783
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
5099
409.8 IPS |
|
|
Face Detection (SP)
|
100% |
7997
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
8850
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1846
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13651
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17631
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10032
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23408
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
607
809.8 IPS |
|
|
Text Classification (Q)
|
97% |
1330
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2359
47.4 IPS |
