HP HP Laptop 15-fc0xxx
Geekbench AI Score
1096
Single Precision Score
1349
Half Precision Score
912
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 28 2025 02:35 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fc0xxx |
| Motherboard | HP 8B2F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7520U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
100% |
413
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
8325
9.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
4194
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
89% |
412
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1317
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
1000
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2618
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3099
23.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
2165
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8564
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12558
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7234
9.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1292
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.8 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
60% |
174
3.87 IPS |
