HP EliteDesk 800 G4 TWR HP HP EliteDesk 800 G4 TWR
Geekbench AI Score
2070
Single Precision Score
975
Half Precision Score
2169
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 02:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 TWR |
| Motherboard | HP 83E0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1200
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3603
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
87% |
7701
9.10 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
86% |
1108
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
2463
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4063
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3937
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9563
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7480
9.62 IPS |
|
|
Style Transfer (Q)
|
87% |
10990
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2229
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.7 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
60% |
1362
30.4 IPS |
