HP HP EliteDesk 800 G4 SFF
Geekbench AI Score
896
Single Precision Score
1019
Half Precision Score
695
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | December 15 2024 05:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 SFF |
| Motherboard | HP 83E1 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
100% |
386
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
398
6.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2192
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
1963
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
98% |
463
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
397
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
698
8.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1349
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5573
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4613
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
803
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.5 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (Q)
|
97% |
256
342.9 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
70% |
246
4.61 IPS |
