HP HP EliteDesk 8 Mini G1i Desktop AI PC
Geekbench AI Score
3565
Single Precision Score
1665
Half Precision Score
6909
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | November 12 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1i Desktop AI PC |
| Motherboard | HP 8D15 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225T |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2667
495.9 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
99% |
6322
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7995
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4505
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
20758
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
5978
480.5 IPS |
|
|
Face Detection (SP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8382
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2278
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13611
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13738
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12043
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16320
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2778
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3057
61.4 IPS |
