HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1457
Single Precision Score
431
Half Precision Score
1577
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fmcpherson |
| Upload Date | August 16 2024 08:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
888
165.1 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
97% |
1264
235.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
4517
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (Q)
|
86% |
924
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (Q)
|
96% |
2011
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2910
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
527
4.06 IPS |
|
|
Depth Estimation (Q)
|
76% |
2622
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6242
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4872
6.26 IPS |
|
|
Style Transfer (Q)
|
87% |
7302
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1529
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.6 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
60% |
944
21.1 IPS |
