HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1700
Single Precision Score
598
Half Precision Score
2687
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | strtj |
| Upload Date | April 12 2025 08:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
94% |
2185
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
5255
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
58% |
1549
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.56 IPS |
|
|
Face Detection (Q)
|
96% |
4951
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3460
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
831
6.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
4964
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7656
9.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5976
7.68 IPS |
|
|
Style Transfer (Q)
|
87% |
8827
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1876
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.8 IPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1643
31.7 IPS |
