HP HP 245 14 inch G10 Notebook PC
Geekbench AI Score
1474
Single Precision Score
1475
Half Precision Score
975
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | yapmeo |
| Upload Date | April 21 2025 05:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (HP)
|
100% |
1161
216.0 IPS |
|
|
Image Classification (Q)
|
99% |
618
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
1620
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
1071
85.0 IPS |
|
|
Object Detection (HP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (Q)
|
85% |
633
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1644
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1545
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1197
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1811
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3240
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
579
777.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (Q)
|
58% |
495
11.6 IPS |
