HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
8770
Single Precision Score
9231
Half Precision Score
14695
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 24 2026 03:17 PM |
| Views | 6 |
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 Z2 Tower G1i Workstation Desktop PC |
| Motherboard | HP 8D3C |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6656
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10178
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7958
129.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13795
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33424
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71728
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
5219
414.0 IPS |
|
|
Object Detection (HP)
|
100% |
5426
430.4 IPS |
|
|
Object Detection (Q)
|
88% |
9830
788.0 IPS |
|
|
Face Detection (SP)
|
100% |
14590
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
15736
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
31727
377.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12825
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13964
107.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
26383
205.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31139
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46087
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83298
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8290
306.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15975
589.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31039
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2186
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4120
71.0 IPS |
