HP HP Z2 Mini G5 Workstation
Geekbench AI Score
3631
Single Precision Score
1498
Half Precision Score
4582
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JakobLW |
| Upload Date | May 24 2025 07:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-1270P |
| 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% |
3127
581.6 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
96% |
4518
843.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2567
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6376
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
11236
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
58% |
3027
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
7274
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2136
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10048
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15038
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12051
15.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14797
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2549
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2925
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1330
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2460
47.5 IPS |
