Hewlett-Packard 500-164
Geekbench AI Score
167
Single Precision Score
102
Half Precision Score
228
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | jcpenni |
| Upload Date | August 19 2024 07:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A8-6500 |
| 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% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.70 IPS |
|
|
Image Classification (Q)
|
96% |
192
35.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
178
2.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
236
0.28 IPS |
|
|
Pose Estimation (Q)
|
87% |
397
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.23 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.19 IPS |
|
|
Object Detection (Q)
|
90% |
133
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (HP)
|
100% |
69
0.82 IPS |
|
|
Face Detection (Q)
|
96% |
322
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
152
1.17 IPS |
|
|
Depth Estimation (Q)
|
76% |
314
2.53 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (Q)
|
87% |
816
1.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.26 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.2 IPS |
|
|
Text Classification (Q)
|
97% |
99
132.4 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (Q)
|
60% |
137
3.04 IPS |
