Hewlett-Packard 500-210qe
Geekbench AI Score
1479
Single Precision Score
1447
Half Precision Score
1918
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | November 20 2024 01:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard 500-210qe |
| Motherboard | Hewlett-Packard 2AF7 |
| Power Plan | Norton Utilities Premium - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.0 IPS |
|
|
Image Classification (Q)
|
100% |
1352
251.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1518
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2743
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
3192
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (Q)
|
87% |
1004
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
3185
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2040
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2056
15.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3039
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4852
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4798
6.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7303
9.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
91% |
707
950.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1373
23.6 IPS |
