LENOVO 81Y4
Geekbench AI Score
2053
Single Precision Score
1020
Half Precision Score
2160
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81Y4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.3 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
96% |
1972
368.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2862
3.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
6674
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
1174
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3846
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8858
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6986
8.98 IPS |
|
|
Style Transfer (Q)
|
87% |
11118
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2210
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
552
737.4 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
60% |
1274
28.4 IPS |
