HP HP ProDesk 4 SFF G1i Desktop AI PC
Geekbench AI Score
4468
Single Precision Score
1714
Half Precision Score
8249
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 04:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 4 SFF G1i Desktop AI PC |
| Motherboard | HP 8D14 |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
4091
760.8 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.5 IPS |
|
|
Image Classification (Q)
|
99% |
7849
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11435
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7576
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5079
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
30298
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
5932
476.8 IPS |
|
|
Face Detection (SP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
9468
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7363
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18229
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19940
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14042
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19080
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.8 IPS |
|
|
Text Classification (Q)
|
97% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3826
76.9 IPS |
