HP HP EliteDesk 8 Mini G1i Desktop AI PC
Geekbench AI Score
4295
Single Precision Score
8312
Half Precision Score
13205
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2744
510.2 IPS |
|
|
Image Classification (HP)
|
100% |
6546
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9855
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3788
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5057
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
33597
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72287
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
5147
408.3 IPS |
|
|
Object Detection (Q)
|
87% |
9244
741.9 IPS |
|
|
Face Detection (SP)
|
100% |
5938
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
11724
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
24088
286.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6401
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11986
92.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
22937
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15124
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36042
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
68936
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13170
486.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22094
818.2 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3858
66.4 IPS |
