Hewlett-Packard 500-210qe
Geekbench AI Score
1305
Single Precision Score
712
Half Precision Score
1281
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 08 2024 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| 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% |
842
156.6 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
96% |
953
177.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
907
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
87% |
2815
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
775
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
96% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2636
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.77 IPS |
|
|
Depth Estimation (Q)
|
77% |
2155
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5420
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4089
5.26 IPS |
|
|
Style Transfer (Q)
|
87% |
5181
6.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1121
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.2 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.1 IPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
60% |
897
20.0 IPS |
