HP HP Z2 Mini G5 Workstation
Geekbench AI Score
4106
Single Precision Score
4605
Half Precision Score
6370
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JakobLW |
| Upload Date | May 24 2025 07:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-1270P CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z2 Mini G5 Workstation |
| Motherboard | HP 8754 |
| Power Plan | Ultimativ ydeevne |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-1270P |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
2773
515.7 IPS |
|
|
Image Classification (Q)
|
100% |
3425
637.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3383
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3432
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5706
92.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
12678
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2767
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (Q)
|
87% |
4839
388.1 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4204
49.9 IPS |
|
|
Face Detection (Q)
|
97% |
9346
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5598
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7922
61.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9060
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11293
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17856
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35875
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7493
277.5 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
91% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4082
70.3 IPS |
