HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
496
Single Precision Score
303
Half Precision Score
413
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
236
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
89% |
240
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (Q)
|
97% |
492
5.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
547
4.23 IPS |
|
|
Depth Estimation (Q)
|
75% |
786
6.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1737
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1700
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.8 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.3 IPS |
|
|
Text Classification (Q)
|
97% |
178
238.5 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
96% |
228
3.95 IPS |
|
|
Machine Translation (Q)
|
60% |
174
3.88 IPS |
