HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
5678
Single Precision Score
1702
Half Precision Score
8580
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Rolli |
| Upload Date | May 23 2025 11:39 AM |
| Views | 5 |
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 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | Hchstleistung |
| 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% |
4667
867.9 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
99% |
7499
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4355
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11278
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4723
5.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
34875
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4225
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (Q)
|
86% |
8145
654.6 IPS |
|
|
Face Detection (SP)
|
100% |
11995
142.5 IPS |
|
|
Face Detection (HP)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12568
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12747
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2196
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17371
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24994
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11655
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26331
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5793
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1678
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4173
83.9 IPS |
