Hewlett-Packard PPPPP-CCC#MMMMMMMM
Geekbench AI Score
85
Single Precision Score
73
Half Precision Score
158
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | April 02 2025 07:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-550 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard PPPPP-CCC#MMMMMMMM |
| Motherboard | MSI 2A9C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-550 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 5.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
27
4.98 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.57 IPS |
|
|
Image Classification (Q)
|
96% |
112
20.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
51
0.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
110
1.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
118
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
247
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
50
3.97 IPS |
|
|
Object Detection (HP)
|
100% |
39
3.06 IPS |
|
|
Object Detection (Q)
|
58% |
76
8.31 IPS |
|
|
Face Detection (SP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (HP)
|
100% |
119
1.42 IPS |
|
|
Face Detection (Q)
|
96% |
269
3.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
148
1.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
123
0.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
282
2.25 IPS |
|
|
Style Transfer (SP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
87% |
491
0.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64
2.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
135
4.99 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.8 IPS |
|
|
Text Classification (HP)
|
100% |
55
72.9 IPS |
|
|
Text Classification (Q)
|
97% |
47
63.3 IPS |
|
|
Machine Translation (SP)
|
100% |
61
1.06 IPS |
|
|
Machine Translation (HP)
|
100% |
28
0.47 IPS |
|
|
Machine Translation (Q)
|
68% |
184
3.56 IPS |
