HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1869
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 08:26 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% |
1150
213.9 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
94% |
2202
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1512
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
5254
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.5 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
58% |
1560
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
96% |
4978
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3463
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
829
6.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
4867
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7648
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5978
7.68 IPS |
|
|
Style Transfer (Q)
|
87% |
8829
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1871
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.7 IPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1629
31.5 IPS |
