HP HP ProDesk 600 G3 SFF
Geekbench AI Score
1994
Single Precision Score
1977
Half Precision Score
1434
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | December 18 2024 08:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProDesk 600 G3 SFF |
| Motherboard | HP 82B4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
100% |
366
68.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11811
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6441
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
9687
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
89% |
500
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
979
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3990
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3628
28.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
3146
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19091
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11612
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15356
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2383
88.3 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.9 IPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
380
508.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1296
22.4 IPS |
|
|
Machine Translation (Q)
|
59% |
463
10.7 IPS |
