HP EliteDesk 800 G4 TWR HP HP EliteDesk 800 G4 TWR
Geekbench AI Score
964
Single Precision Score
1143
Half Precision Score
782
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 03:12 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 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% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
379
70.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
2293
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
488
38.8 IPS |
|
|
Object Detection (Q)
|
89% |
405
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
717
8.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1790
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
1515
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6403
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
9501
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5561
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
996
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.8 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.6 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.1 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
60% |
244
5.44 IPS |
