HP 510-p114
Geekbench AI Score
2266
Single Precision Score
2238
Half Precision Score
1658
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 07 2025 06:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP 510-p114 |
| Motherboard | HP 81B4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
414
77.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1133
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11879
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6397
7.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
9720
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (Q)
|
83% |
567
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4222
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3794
29.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
3413
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19410
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11628
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15473
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2737
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
519
695.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1733
30.0 IPS |
|
|
Machine Translation (Q)
|
70% |
733
13.7 IPS |
