HP HP ProDesk 4 SFF G1i Desktop AI PC
Geekbench AI Score
3723
Single Precision Score
8706
Half Precision Score
13415
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:20 AM |
| Views | 3 |
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 ProDesk 4 SFF G1i Desktop AI PC |
| Motherboard | HP 8D14 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (HP)
|
100% |
6695
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9676
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3772
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
33723
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
72226
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
5360
425.2 IPS |
|
|
Object Detection (Q)
|
87% |
9389
753.5 IPS |
|
|
Face Detection (SP)
|
100% |
6362
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
13169
156.5 IPS |
|
|
Face Detection (Q)
|
100% |
23764
282.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5530
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13022
100.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24222
188.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12535
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39014
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
74743
96.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13124
484.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22192
821.8 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1987
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4023
69.3 IPS |
