HP HP 255 G8 Notebook PC
Geekbench AI Score
1963
Single Precision Score
1875
Half Precision Score
2275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | December 24 2024 07:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 5300U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP 255 G8 Notebook PC |
| Motherboard | HP 890E |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 5300U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
1438
267.5 IPS |
|
|
Image Classification (Q)
|
100% |
1595
296.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
2303
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
87% |
1622
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
4204
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3101
23.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3851
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6788
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
6714
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
9867
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1880
32.4 IPS |
