HP HP EliteDesk 8 Mini G1i Desktop AI PC
Geekbench AI Score
4431
Single Precision Score
9503
Half Precision Score
14702
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 21 2025 06:26 AM |
| Views | 13 |
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 235T |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2737
508.9 IPS |
|
|
Image Classification (HP)
|
100% |
6957
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9585
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3878
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4971
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
34246
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75289
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
2571
204.0 IPS |
|
|
Object Detection (HP)
|
100% |
6203
492.0 IPS |
|
|
Object Detection (Q)
|
87% |
10128
812.9 IPS |
|
|
Face Detection (SP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
15208
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
29959
356.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6461
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16909
130.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30791
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15098
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
47450
61.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87501
112.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14380
531.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23402
866.7 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1877
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
2002
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4403
75.8 IPS |
