HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
15255
Single Precision Score
26715
Half Precision Score
11990
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 24 2026 03:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| 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% |
6345
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
11744
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5730
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11171
181.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16160
262.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10117
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
65294
76.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
209133
244.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
58342
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
7846
622.4 IPS |
|
|
Object Detection (HP)
|
100% |
13629
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
6927
558.7 IPS |
|
|
Face Detection (SP)
|
100% |
18885
224.4 IPS |
|
|
Face Detection (HP)
|
100% |
31948
379.6 IPS |
|
|
Face Detection (Q)
|
97% |
16969
202.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32919
253.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
66914
515.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27543
220.8 IPS |
|
|
Style Transfer (SP)
|
100% |
117437
151.0 IPS |
|
|
Style Transfer (HP)
|
100% |
305408
392.6 IPS |
|
|
Style Transfer (Q)
|
98% |
101943
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23861
881.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39955
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17771
658.0 IPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1781
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1739
32.6 IPS |
