HP HP EliteDesk 8 Mini G1i Desktop AI PC
Geekbench AI Score
1996
Single Precision Score
3217
Half Precision Score
1370
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | November 12 2025 02:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
996
185.2 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
99% |
756
141.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3160
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
7573
8.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
2808
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
983
77.9 IPS |
|
|
Object Detection (HP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (Q)
|
86% |
794
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
2438
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
1602
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3438
26.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6970
53.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2602
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11577
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18766
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8766
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1565
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.8 IPS |
|
|
Text Classification (Q)
|
97% |
493
660.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
97% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
70% |
499
9.35 IPS |
