LENOVO INVALID
Geekbench AI Score
1703
Single Precision Score
1694
Half Precision Score
1989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 25 2024 10:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4720HQ CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO INVALID |
| Power Plan | High performance |
| 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% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
100% |
1312
244.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2133
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
2353
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
87% |
1095
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2069
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
3616
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2755
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2824
21.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3446
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5989
7.70 IPS |
|
|
Style Transfer (Q)
|
98% |
6739
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1731
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
91% |
918
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1558
26.8 IPS |
