LENOVO 21DE003FAD
Geekbench AI Score
1876
Single Precision Score
1847
Half Precision Score
1213
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | kfedor |
| Upload Date | February 27 2025 04:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Linux Mint 21.3 |
| Model | LENOVO 21DE003FAD |
| Motherboard | LENOVO 21DE003FAD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
1532
284.9 IPS |
|
|
Image Classification (Q)
|
99% |
963
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
2455
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
85% |
917
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
2030
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2193
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2140
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1536
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2670
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2656
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
4488
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
993
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
457
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (Q)
|
58% |
492
11.5 IPS |
