HP HP EliteDesk 800 G4 TWR
Geekbench AI Score
14431
Single Precision Score
22674
Half Precision Score
9343
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 03:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| 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% |
5734
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
8234
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
4154
772.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8750
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11593
187.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7250
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
88425
103.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
238032
277.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
71473
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
7334
581.7 IPS |
|
|
Object Detection (HP)
|
100% |
11359
901.0 IPS |
|
|
Object Detection (Q)
|
88% |
5289
424.2 IPS |
|
|
Face Detection (SP)
|
100% |
16347
194.2 IPS |
|
|
Face Detection (HP)
|
100% |
21321
253.3 IPS |
|
|
Face Detection (Q)
|
97% |
12402
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36049
277.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68566
528.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
24085
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
139804
179.7 IPS |
|
|
Style Transfer (HP)
|
100% |
347680
446.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113642
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26079
963.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32066
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13831
512.2 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3253
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1036
23.1 IPS |
