HP
Geekbench AI Score
2156
Single Precision Score
2805
Half Precision Score
1656
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 09:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 10 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | HP |
| Motherboard | HP 87CE |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (HP)
|
100% |
1082
201.3 IPS |
|
|
Image Classification (Q)
|
100% |
838
155.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14479
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6847
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (Q)
|
88% |
917
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
1893
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4797
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6800
52.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3791
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13640
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22813
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11372
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2094
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
625
833.8 IPS |
|
|
Text Classification (HP)
|
100% |
603
805.2 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
504
9.46 IPS |
