HP HP EliteDesk 8 Mini G1i Desktop AI PC
Geekbench AI Score
2590
Single Precision Score
4561
Half Precision Score
7461
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | November 12 2025 02:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
1776
330.3 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
100% |
5055
940.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5184
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
5108
5.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
16038
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
2814
223.2 IPS |
|
|
Object Detection (Q)
|
88% |
5225
418.7 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6375
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
12412
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5590
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10487
81.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13395
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13292
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18692
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37618
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7607
281.7 IPS |
|
|
Text Classification (SP)
|
71% |
1073
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1908
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2130
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2432
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2403
41.5 IPS |
