HP HP EliteDesk 800 G6 Tower PC
Geekbench AI Score
1829
Single Precision Score
996
Half Precision Score
1986
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Shylock |
| Upload Date | October 11 2024 06:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G6 Tower PC |
| Motherboard | HP 870C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.8 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1534
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3798
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (Q)
|
87% |
8356
9.87 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
86% |
1192
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
678
8.05 IPS |
|
|
Face Detection (Q)
|
96% |
1850
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3791
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1477
11.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3279
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9730
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8415
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
7020
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2219
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
576
769.2 IPS |
|
|
Text Classification (Q)
|
97% |
376
502.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1018
22.7 IPS |
