HP HP 255 G7 Notebook PC
Geekbench AI Score
263
Single Precision Score
175
Half Precision Score
297
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 08:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP 255 G7 Notebook PC |
| Motherboard | HP 85EA |
| Power Plan | Odporan spolonosou HP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
96% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
277
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
411
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.41 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.88 IPS |
|
|
Object Detection (Q)
|
86% |
128
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (Q)
|
96% |
403
4.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
77% |
402
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
914
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
810
1.04 IPS |
|
|
Style Transfer (Q)
|
87% |
1144
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
231
8.55 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (HP)
|
100% |
106
142.0 IPS |
|
|
Text Classification (Q)
|
97% |
182
243.9 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
135
2.32 IPS |
|
|
Machine Translation (Q)
|
60% |
263
5.87 IPS |
