HP HP Elite SFF 800 G9 Desktop PC
Geekbench AI Score
4313
Single Precision Score
1389
Half Precision Score
5859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite SFF 800 G9 Desktop PC |
| Motherboard | HP 8AC2 |
| Power Plan | HP Optimized (empfohlen) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3641
677.0 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
6200
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3046
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8574
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3909
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
27359
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
5637
453.0 IPS |
|
|
Face Detection (SP)
|
100% |
8243
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
9755
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9685
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1752
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15109
120.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9713
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16555
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.2 IPS |
|
|
Text Classification (Q)
|
97% |
543
727.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2834
57.0 IPS |
