HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
8568
Single Precision Score
9928
Half Precision Score
15439
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 25 2026 07:46 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 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% |
5767
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
7121
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9734
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12709
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33753
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
73351
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
5512
437.2 IPS |
|
|
Object Detection (HP)
|
100% |
5890
467.2 IPS |
|
|
Object Detection (Q)
|
88% |
10003
801.9 IPS |
|
|
Face Detection (SP)
|
100% |
17418
207.0 IPS |
|
|
Face Detection (HP)
|
100% |
17211
204.5 IPS |
|
|
Face Detection (Q)
|
100% |
32634
387.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13610
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18301
141.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34690
269.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28033
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54261
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
97521
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7876
290.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15566
574.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30731
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1952
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1972
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4764
82.1 IPS |
