HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2009
Single Precision Score
938
Half Precision Score
2541
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | epitgtb29 |
| Upload Date | August 25 2025 06:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Laptop 15s-eq1xxx |
| Motherboard | HP 8707 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4700U |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
96% |
2109
393.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
2871
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3952
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
4691
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
58% |
1448
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4304
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4963
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1395
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5116
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8731
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7262
9.34 IPS |
|
|
Style Transfer (Q)
|
87% |
8584
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1826
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.4 IPS |
|
|
Text Classification (Q)
|
97% |
657
879.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1207
23.3 IPS |
