HP HP 245 14 inch G10 Notebook PC
Geekbench AI Score
2048
Single Precision Score
1039
Half Precision Score
3227
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 09:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP 245 14 inch G10 Notebook PC |
| Motherboard | HP 8BA4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (Q)
|
96% |
3346
624.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
2057
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
7198
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
58% |
2188
239.1 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
4756
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4437
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6426
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7500
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6890
8.86 IPS |
|
|
Style Transfer (Q)
|
87% |
7604
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1883
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.2 IPS |
|
|
Text Classification (Q)
|
97% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1917
37.0 IPS |
