HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
483
Single Precision Score
302
Half Precision Score
410
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fmcpherson |
| Upload Date | August 16 2024 08:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
100% |
235
43.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
341
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
847
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
89% |
258
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
483
5.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
899
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
549
4.23 IPS |
|
|
Depth Estimation (Q)
|
75% |
794
6.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1738
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1393
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1705
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.1 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.7 IPS |
|
|
Text Classification (Q)
|
97% |
163
218.3 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
96% |
215
3.72 IPS |
|
|
Machine Translation (Q)
|
60% |
164
3.66 IPS |
