HP HP Z2 Mini G5 Workstation
Geekbench AI Score
437
Single Precision Score
471
Half Precision Score
794
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 05:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Mini G5 Workstation |
| Motherboard | HP 8754 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-1250P |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
100% |
437
81.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.43 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.82 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
4.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
2222
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (HP)
|
98% |
500
39.8 IPS |
|
|
Object Detection (Q)
|
86% |
451
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
876
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1798
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1556
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6287
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
9433
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5467
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1163
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
927
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
374
499.7 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.1 IPS |
|
|
Text Classification (Q)
|
97% |
260
347.9 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
70% |
247
4.64 IPS |
