HP 580-074ns
Geekbench AI Score
1924
Single Precision Score
933
Half Precision Score
2530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| 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% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
96% |
2113
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1511
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
5069
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1528
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
4048
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
4828
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7098
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5669
7.29 IPS |
|
|
Style Transfer (Q)
|
87% |
8326
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1719
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
589
785.7 IPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1570
30.3 IPS |
