HP HP Z2 Mini G5 Workstation
Geekbench AI Score
2240
Single Precision Score
1091
Half Precision Score
3510
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 05:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-1250P |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
96% |
2967
554.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3716
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4267
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3492
4.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
7788
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
58% |
2074
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4990
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3914
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1455
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6230
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7864
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6307
8.11 IPS |
|
|
Style Transfer (Q)
|
87% |
9837
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2973
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.6 IPS |
|
|
Text Classification (Q)
|
97% |
1032
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
68% |
1701
32.9 IPS |
