Hewlett-Packard 500-210qe
Geekbench AI Score
6243
Single Precision Score
6672
Half Precision Score
4467
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | November 20 2024 01:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 580 2048SP |
| 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% |
2562
476.4 IPS |
|
|
Image Classification (HP)
|
100% |
2866
533.0 IPS |
|
|
Image Classification (Q)
|
99% |
2025
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3086
50.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2477
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39172
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
41218
48.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32524
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2781
220.6 IPS |
|
|
Object Detection (HP)
|
100% |
2894
229.6 IPS |
|
|
Object Detection (Q)
|
89% |
2174
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
6966
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
8398
99.8 IPS |
|
|
Face Detection (Q)
|
97% |
5323
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16533
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18532
143.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11888
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
67032
86.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73525
94.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52364
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9498
350.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10447
385.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6318
233.9 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
665
890.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1407
24.3 IPS |
|
|
Machine Translation (Q)
|
60% |
641
14.5 IPS |
