HP HP ProDesk 400 G4 SFF
Geekbench AI Score
866
Single Precision Score
1031
Half Precision Score
663
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 09:06 AM |
| Views | 11 |
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 400 G4 SFF |
| Motherboard | HP 82A2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
343
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2263
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3617
4.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
1995
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
98% |
448
35.7 IPS |
|
|
Object Detection (Q)
|
89% |
385
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
520
6.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1614
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
1324
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5737
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4626
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.4 IPS |
|
|
Text Classification (Q)
|
97% |
282
378.1 IPS |
|
|
Machine Translation (SP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
60% |
204
4.56 IPS |
