HP HP ENVY x360 Convertible 13-ag0xxx
Geekbench AI Score
308
Single Precision Score
175
Half Precision Score
384
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 01:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ENVY x360 Convertible 13-ag0xxx |
| Motherboard | HP 8496 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.5 IPS |
|
|
Image Classification (Q)
|
96% |
322
60.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
359
5.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
474
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.79 IPS |
|
|
Object Detection (Q)
|
58% |
170
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
96% |
606
7.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
425
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
621
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
996
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
727
0.93 IPS |
|
|
Style Transfer (Q)
|
87% |
1095
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
271
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (HP)
|
100% |
130
174.0 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.1 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (Q)
|
68% |
356
6.88 IPS |
