HP HP 245 14 inch G10 Notebook PC
Geekbench AI Score
1929
Single Precision Score
987
Half Precision Score
3209
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 01:04 AM |
| Views | 4 |
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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
96% |
3310
618.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
1999
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2673
3.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
6918
8.18 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
58% |
2104
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
4753
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3910
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6201
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7468
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6539
8.41 IPS |
|
|
Style Transfer (Q)
|
87% |
7448
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.3 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
68% |
2151
41.6 IPS |
