HP HP Pavilion Desktop 590-p0xxx
Geekbench AI Score
1397
Single Precision Score
679
Half Precision Score
1527
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | catjesus |
| Upload Date | May 27 2025 03:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 2700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Desktop 590-p0xxx |
| Motherboard | HP 8433 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
1179
220.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1001
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
2383
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
58% |
865
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
96% |
2982
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
2849
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5567
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4813
6.19 IPS |
|
|
Style Transfer (Q)
|
87% |
5677
7.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.9 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.4 IPS |
|
|
Text Classification (Q)
|
97% |
555
743.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1103
21.3 IPS |
