HP HP ProBook 455 G7
Geekbench AI Score
1148
Single Precision Score
435
Half Precision Score
1380
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:38 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 455 G7 |
| Motherboard | HP 8730 |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4700U |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.4 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
97% |
1015
189.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1250
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2463
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (Q)
|
87% |
5209
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.45 IPS |
|
|
Object Detection (Q)
|
86% |
713
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.87 IPS |
|
|
Face Detection (Q)
|
96% |
1415
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2656
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
76% |
2327
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7290
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
6788
8.73 IPS |
|
|
Style Transfer (Q)
|
87% |
5363
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1282
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.0 IPS |
|
|
Text Classification (Q)
|
97% |
335
449.2 IPS |
|
|
Machine Translation (SP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (Q)
|
60% |
701
15.6 IPS |
