HP 580-074ns
Geekbench AI Score
2526
Single Precision Score
2521
Half Precision Score
3724
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz |
| 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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.5 IPS |
|
|
Image Classification (Q)
|
100% |
2413
448.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
5734
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (Q)
|
87% |
2436
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
6062
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4043
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4077
31.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6451
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9020
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9098
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16294
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3340
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (Q)
|
91% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2474
42.6 IPS |
