LENOVO INVALID
Geekbench AI Score
1700
Single Precision Score
1693
Half Precision Score
1973
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 26 2024 04:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4720HQ CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO INVALID |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4720HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
1094
203.5 IPS |
|
|
Image Classification (Q)
|
100% |
1314
244.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1380
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
2502
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (Q)
|
87% |
1099
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2108
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
3650
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2795
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2857
22.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3471
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6440
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
5975
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6781
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1726
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (Q)
|
91% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1630
28.1 IPS |
