HP HP ProDesk 600 G3 SFF
Geekbench AI Score
809
Single Precision Score
936
Half Precision Score
613
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | December 18 2024 08:37 AM |
| Views | 3 |
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% |
328
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
312
58.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2113
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
1878
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
98% |
408
32.5 IPS |
|
|
Object Detection (Q)
|
89% |
317
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
543
6.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
1495
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1831
14.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
1182
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
5367
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8015
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4382
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
772
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
347
462.6 IPS |
|
|
Text Classification (HP)
|
100% |
245
326.7 IPS |
|
|
Text Classification (Q)
|
97% |
230
307.6 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
60% |
199
4.43 IPS |
