LENOVO 21F7S22405
Geekbench AI Score
1387
Single Precision Score
619
Half Precision Score
2646
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ls0775 |
| Upload Date | March 22 2025 04:34 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21F7S22405 |
| Motherboard | LENOVO 21F7S22405 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.8 IPS |
|
|
Image Classification (Q)
|
99% |
1995
372.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1919
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1268
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
4893
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
86% |
1498
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (Q)
|
97% |
5039
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3374
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
849
6.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
5322
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3884
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3153
4.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8052
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2092
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.1 IPS |
|
|
Text Classification (Q)
|
97% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1514
30.4 IPS |
