HP HP Elite SFF 800 G9 Desktop PC
Geekbench AI Score
1687
Single Precision Score
1750
Half Precision Score
1141
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | LorisBOX |
| Upload Date | February 02 2025 10:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP Elite SFF 800 G9 Desktop PC |
| Motherboard | HP 894E |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5245
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5791
6.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
3528
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
98% |
688
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
681
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1228
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3083
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3353
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2277
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10789
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14350
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7981
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2550
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
933
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.9 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.2 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
70% |
378
7.10 IPS |
