HP HP Z2 Mini G5 Workstation
Geekbench AI Score
1039
Single Precision Score
1204
Half Precision Score
859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JakobLW |
| Upload Date | May 24 2025 07:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
| 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% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
444
82.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3934
4.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
2282
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
98% |
531
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
481
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1868
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2301
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1625
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6345
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
9475
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5569
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.0 IPS |
|
|
Text Classification (HP)
|
100% |
329
438.8 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.9 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
70% |
302
5.67 IPS |
