Hewlett-Packard HP Pro 3120 Microtower PC
Geekbench AI Score
110
Single Precision Score
109
Half Precision Score
162
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 28 2024 03:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium E5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Hewlett-Packard HP Pro 3120 Microtower PC |
| Motherboard | PEGATRON CORPORATION 2A94 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium E5700 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 5.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.60 IPS |
|
|
Image Classification (Q)
|
100% |
97
18.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
126
2.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
112
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
247
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.69 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.51 IPS |
|
|
Object Detection (Q)
|
89% |
89
7.16 IPS |
|
|
Face Detection (SP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (HP)
|
100% |
120
1.42 IPS |
|
|
Face Detection (Q)
|
97% |
204
2.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
168
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
173
1.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
263
2.10 IPS |
|
|
Style Transfer (SP)
|
100% |
343
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
530
0.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75
2.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
103
3.79 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
147
5.43 IPS |
|
|
Text Classification (SP)
|
100% |
135
180.8 IPS |
|
|
Text Classification (HP)
|
100% |
91
121.3 IPS |
|
|
Text Classification (Q)
|
97% |
103
138.0 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
100% |
76
1.30 IPS |
|
|
Machine Translation (Q)
|
60% |
108
2.41 IPS |
