LENOVO 21F7S5YA00
Geekbench AI Score
1385
Single Precision Score
362
Half Precision Score
1890
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | September 26 2024 04:36 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% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.2 IPS |
|
|
Image Classification (Q)
|
99% |
2041
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1833
2.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
9092
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.91 IPS |
|
|
Object Detection (Q)
|
88% |
816
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.88 IPS |
|
|
Face Detection (Q)
|
97% |
1734
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2234
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
409
3.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
3312
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4803
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3430
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
9973
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.4 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.6 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.0 IPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
60% |
837
18.7 IPS |
