HP HP ProDesk 600 G3 SFF
Geekbench AI Score
782
Single Precision Score
923
Half Precision Score
594
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | December 04 2024 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| 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% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
308
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
398
6.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2068
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
1796
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
98% |
410
32.6 IPS |
|
|
Object Detection (Q)
|
89% |
306
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (Q)
|
97% |
506
6.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
1089
8.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
1150
9.30 IPS |
|
|
Style Transfer (SP)
|
100% |
5297
6.81 IPS |
|
|
Style Transfer (HP)
|
100% |
7948
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4315
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
754
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.6 IPS |
|
|
Text Classification (HP)
|
100% |
239
318.6 IPS |
|
|
Text Classification (Q)
|
97% |
224
300.5 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
60% |
193
4.30 IPS |
