LENOVO 21F7S5YA00
Geekbench AI Score
1864
Single Precision Score
401
Half Precision Score
2408
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | August 30 2024 04:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1370P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F7S5YA00 |
| Motherboard | LENOVO 21F7S5YA00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1370P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
99% |
2177
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2704
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
13083
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (Q)
|
88% |
1214
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
166
1.97 IPS |
|
|
Face Detection (Q)
|
97% |
2434
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3212
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
76% |
4470
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7288
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
5132
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
13937
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2534
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.7 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
60% |
993
22.2 IPS |
