HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
5168
Single Precision Score
1518
Half Precision Score
7970
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 16 2025 12:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4275
795.0 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
6707
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3897
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10803
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4532
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
33125
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4025
319.3 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
7404
595.0 IPS |
|
|
Face Detection (SP)
|
100% |
10842
128.8 IPS |
|
|
Face Detection (HP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
11294
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12252
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17335
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23643
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10926
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25783
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5401
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
679
905.8 IPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3638
73.1 IPS |
