HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
5457
Single Precision Score
1688
Half Precision Score
8565
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 23 2025 12:30 PM |
| Views | 8 |
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 | HP Optimized (empfohlen) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4695
873.1 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
7367
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
36063
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
8039
646.1 IPS |
|
|
Face Detection (SP)
|
100% |
10702
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
12040
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12963
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2214
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18600
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24862
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11909
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25086
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5691
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1816
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3834
77.0 IPS |
