LENOVO 21F7S5YA00
Geekbench AI Score
1898
Single Precision Score
471
Half Precision Score
2642
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | September 02 2024 09:42 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% |
1231
228.9 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
99% |
2386
445.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
10646
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
88% |
1378
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (Q)
|
97% |
3099
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3153
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
576
4.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
6099
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7303
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
5358
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13400
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2340
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
1135
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
473
630.8 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1235
27.5 IPS |
