LENOVO 21F7S5YA00
Geekbench AI Score
2573
Single Precision Score
2618
Half Precision Score
6679
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | August 30 2024 04:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
100% |
4792
891.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4526
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
11900
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (Q)
|
88% |
3703
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
9633
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2577
19.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
10197
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6126
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
7581
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
34148
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6387
236.5 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2719
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
85% |
3177
55.6 IPS |
