HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
5632
Single Precision Score
2281
Half Precision Score
9555
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G1i Workstation Desktop PC |
| Motherboard | HP 8D3C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.5 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.6 IPS |
|
|
Image Classification (Q)
|
99% |
8642
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13503
219.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13362
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7478
8.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
39736
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
3391
269.0 IPS |
|
|
Object Detection (HP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
8717
700.6 IPS |
|
|
Face Detection (SP)
|
100% |
10197
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
11584
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11860
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17718
141.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26840
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17777
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4667
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3126
115.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6331
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4088
82.1 IPS |
