HP HP Pavilion Laptop 15z-cw000
Geekbench AI Score
293
Single Precision Score
176
Half Precision Score
386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ando21133 |
| Upload Date | May 14 2025 09:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15z-cw000 |
| Motherboard | HP 8615 |
| Power Plan | Ryzen Universal |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
96% |
285
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
321
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.86 IPS |
|
|
Object Detection (Q)
|
58% |
197
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.68 IPS |
|
|
Face Detection (Q)
|
96% |
763
9.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
687
5.48 IPS |
|
|
Style Transfer (SP)
|
100% |
1024
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
833
1.07 IPS |
|
|
Style Transfer (Q)
|
87% |
1407
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.81 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.4 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (Q)
|
97% |
166
223.0 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
68% |
299
5.78 IPS |
