HP HP ProBook 455 G7
Geekbench AI Score
1768
Single Precision Score
1784
Half Precision Score
3300
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:47 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4700U with Radeon Graphics |
| 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% |
1121
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
1140
212.1 IPS |
|
|
Image Classification (Q)
|
100% |
2368
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2062
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
6169
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (Q)
|
87% |
2264
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
6494
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3329
25.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
3319
25.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
6760
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9202
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10004
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16954
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3469
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
91% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
90% |
1120
19.5 IPS |
