LENOVO 81Q4
Geekbench AI Score
1644
Single Precision Score
460
Half Precision Score
2054
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | August 16 2024 08:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81Q4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.8 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
97% |
1130
210.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (Q)
|
87% |
5657
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
86% |
1129
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
187
2.23 IPS |
|
|
Face Detection (Q)
|
96% |
2489
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
574
4.42 IPS |
|
|
Depth Estimation (Q)
|
76% |
3863
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7981
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5749
7.39 IPS |
|
|
Style Transfer (Q)
|
87% |
9351
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1837
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
447
597.2 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
60% |
1265
28.2 IPS |
