HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
18293
Single Precision Score
31034
Half Precision Score
11822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| 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% |
7086
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12574
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
5174
962.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
13324
216.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20538
332.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10167
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
90812
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
275874
321.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75246
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
9558
758.1 IPS |
|
|
Object Detection (HP)
|
100% |
15810
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
6810
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
22629
268.9 IPS |
|
|
Face Detection (HP)
|
100% |
36620
435.1 IPS |
|
|
Face Detection (Q)
|
97% |
16869
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41314
318.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81370
626.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
28289
226.2 IPS |
|
|
Style Transfer (SP)
|
100% |
157689
202.7 IPS |
|
|
Style Transfer (HP)
|
100% |
406110
522.1 IPS |
|
|
Style Transfer (Q)
|
98% |
120195
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29891
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40785
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17687
654.9 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3613
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1458
27.3 IPS |
