HP HP ENVY x360 Convertible 15m-eu0xxx
Geekbench AI Score
1961
Single Precision Score
913
Half Precision Score
2287
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cmoises4 |
| Upload Date | May 20 2025 03:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP ENVY x360 Convertible 15m-eu0xxx |
| Motherboard | HP 888A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
1986
370.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4039
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
4961
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
58% |
1494
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4829
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5435
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5221
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9025
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (Q)
|
87% |
9048
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1679
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
411
549.2 IPS |
|
|
Text Classification (Q)
|
97% |
363
486.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1359
26.2 IPS |
