HP HP 245 14 inch G10 Notebook PC
Geekbench AI Score
1966
Single Precision Score
996
Half Precision Score
3168
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 03:17 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% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
3270
610.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
2003
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
7067
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
58% |
2064
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4724
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4346
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1542
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6244
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7309
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6690
8.60 IPS |
|
|
Style Transfer (Q)
|
87% |
7559
9.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.5 IPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1907
36.8 IPS |
