HP HP ProDesk 4 SFF G1i Desktop AI PC
Geekbench AI Score
3708
Single Precision Score
8630
Half Precision Score
13473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:19 AM |
| Views | 5 |
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% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
6726
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9844
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3883
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
33539
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72777
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
5378
426.6 IPS |
|
|
Object Detection (Q)
|
87% |
9370
752.0 IPS |
|
|
Face Detection (SP)
|
100% |
6302
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
12874
153.0 IPS |
|
|
Face Detection (Q)
|
100% |
24782
294.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13017
100.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23855
185.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12284
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38996
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
75148
96.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13128
484.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21848
809.1 IPS |
|
|
Text Classification (SP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1933
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4030
69.4 IPS |
