HP Elite SFF 800 G9 Desktop PC HP HP Elite SFF 800 G9 Desktop PC
Geekbench AI Score
4392
Single Precision Score
1348
Half Precision Score
7012
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | miesupport |
| Upload Date | May 05 2025 10:56 PM |
| Views | 5 |
| Notes | A12GXUT#ABA |
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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3648
678.4 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
99% |
6384
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3737
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8541
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
25874
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
6548
526.3 IPS |
|
|
Face Detection (SP)
|
100% |
8585
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
9945
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9651
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15881
126.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9416
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18230
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.9 IPS |
|
|
Text Classification (Q)
|
97% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3376
67.8 IPS |
