LENOVO 83FD
Geekbench AI Score
5728
Single Precision Score
5717
Half Precision Score
13714
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | March 06 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83FD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
4337
806.6 IPS |
|
|
Image Classification (HP)
|
100% |
4225
785.7 IPS |
|
|
Image Classification (Q)
|
100% |
8747
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4850
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8420
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7378
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
7583
8.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
26530
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3824
303.3 IPS |
|
|
Object Detection (HP)
|
100% |
3776
299.5 IPS |
|
|
Object Detection (Q)
|
88% |
9172
735.3 IPS |
|
|
Face Detection (SP)
|
100% |
11287
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
11101
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
23547
279.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9528
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9328
71.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23860
185.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21200
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21954
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82997
107.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15788
584.7 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
4338
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4112
70.8 IPS |
