HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
4879
Single Precision Score
1737
Half Precision Score
7749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 06:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3928
730.5 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.6 IPS |
|
|
Image Classification (Q)
|
99% |
6572
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3928
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8474
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4437
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
28714
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
7153
574.9 IPS |
|
|
Face Detection (SP)
|
100% |
9199
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
10965
130.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10551
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2345
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17074
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10806
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24094
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3514
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1826
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3651
73.4 IPS |
