HP HP ProDesk 4 SFF G1i Desktop AI PC
Geekbench AI Score
3728
Single Precision Score
8608
Half Precision Score
13248
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:22 AM |
| Views | 2 |
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% |
2239
416.5 IPS |
|
|
Image Classification (HP)
|
100% |
6682
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9644
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
33733
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72637
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
5408
429.0 IPS |
|
|
Object Detection (Q)
|
87% |
9385
753.2 IPS |
|
|
Face Detection (SP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
12156
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
23731
282.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5507
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13203
101.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
24153
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12500
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39593
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72706
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13013
480.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21758
805.8 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1917
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4037
69.5 IPS |
