HP HP EliteDesk 800 G4 SFF
Geekbench AI Score
1281
Single Precision Score
1266
Half Precision Score
935
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | January 10 2025 10:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 745 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 SFF |
| Motherboard | HP 83E1 |
| Power Plan | Balanced |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
517
8.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3798
4.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3557
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
83% |
502
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
811
9.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
2145
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2130
16.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1756
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6416
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
6402
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5475
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1311
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.6 IPS |
|
|
Text Classification (HP)
|
100% |
571
762.1 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1022
17.7 IPS |
|
|
Machine Translation (Q)
|
70% |
422
7.91 IPS |
