HP HP Z2 Mini G9 Workstation Desktop PC
Geekbench AI Score
5418
Single Precision Score
1615
Half Precision Score
8444
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 23 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G9 Workstation Desktop PC |
| Motherboard | HP 895E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4655
865.6 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
7232
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4376
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10885
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
34935
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4154
329.5 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
7786
625.7 IPS |
|
|
Face Detection (SP)
|
100% |
11880
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
11704
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12734
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2127
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18603
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24565
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11290
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27942
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.1 IPS |
|
|
Text Classification (Q)
|
97% |
1725
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3668
73.7 IPS |
