HP Elite Mini 800 G9 Desktop PC HP HP Elite Mini 800 G9 Desktop PC
Geekbench AI Score
1902
Single Precision Score
885
Half Precision Score
4019
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | precisionxt |
| Upload Date | December 11 2024 03:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP Elite Mini 800 G9 Desktop PC |
| Motherboard | HP 894F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (Q)
|
99% |
3740
697.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1654
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
11358
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
3648
293.1 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5420
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3644
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8765
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6992
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5657
7.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12137
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
65% |
2163
43.5 IPS |
