HP 580-074ns
Geekbench AI Score
10799
Single Precision Score
18067
Half Precision Score
7271
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP 580-074ns |
| Motherboard | HP 82F1 |
| Power Plan | Equilibrat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3840
714.1 IPS |
|
|
Image Classification (HP)
|
100% |
7099
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
3052
569.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7951
128.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11098
179.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5950
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57041
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
183175
213.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
45655
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5289
419.5 IPS |
|
|
Object Detection (HP)
|
100% |
8296
658.1 IPS |
|
|
Object Detection (Q)
|
84% |
3709
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
12795
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
21214
252.1 IPS |
|
|
Face Detection (Q)
|
97% |
9811
117.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28529
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50193
386.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
18538
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
102325
131.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204631
263.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78693
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15060
556.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22124
816.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9666
357.9 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2425
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1156
21.7 IPS |
