HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1217
Single Precision Score
1221
Half Precision Score
754
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | strtj |
| Upload Date | April 12 2025 08:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
896
166.5 IPS |
|
|
Image Classification (HP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (Q)
|
99% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1237
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
920
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
85% |
537
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1174
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1422
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1007
9.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1863
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1862
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2550
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
710
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
426
572.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (Q)
|
58% |
385
9.05 IPS |
