HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
8583
Single Precision Score
9174
Half Precision Score
15808
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 24 2026 03:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| 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% |
6101
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6979
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10440
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7741
125.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4326
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11588
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12656
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13167
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26052
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
5132
407.1 IPS |
|
|
Object Detection (HP)
|
100% |
6675
529.4 IPS |
|
|
Object Detection (Q)
|
88% |
11199
897.7 IPS |
|
|
Face Detection (SP)
|
100% |
14850
176.4 IPS |
|
|
Face Detection (HP)
|
100% |
19474
231.4 IPS |
|
|
Face Detection (Q)
|
100% |
25893
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12245
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14394
110.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
30678
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31280
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25598
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
89471
115.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8406
310.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8483
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17007
629.8 IPS |
|
|
Text Classification (SP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
5897
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7199
124.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3875
66.7 IPS |
