Hewlett-Packard 500-164
Geekbench AI Score
3085
Single Precision Score
3299
Half Precision Score
2372
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | jcpenni |
| Upload Date | August 19 2024 07:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 560 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Hewlett-Packard 500-164 |
| Motherboard | MSI 2AE0 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD A8-6500 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 19 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (Q)
|
100% |
1017
189.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18818
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19543
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15877
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (Q)
|
90% |
1167
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (Q)
|
97% |
2513
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8770
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10265
79.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
6503
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29393
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31112
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24485
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.6 IPS |
|
|
Text Classification (HP)
|
100% |
683
912.2 IPS |
|
|
Text Classification (Q)
|
97% |
466
624.5 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
96% |
652
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
373
8.40 IPS |
