HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
10113
Single Precision Score
17352
Half Precision Score
7357
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | February 07 2026 12:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4324
804.2 IPS |
|
|
Image Classification (HP)
|
99% |
6899
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
3497
652.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5899
95.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7996
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5029
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45980
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
144601
168.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
39384
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
5281
418.9 IPS |
|
|
Object Detection (HP)
|
100% |
9001
714.0 IPS |
|
|
Object Detection (Q)
|
84% |
4321
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
11967
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
18160
215.8 IPS |
|
|
Face Detection (Q)
|
97% |
9965
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27793
214.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55218
426.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
19509
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84903
109.1 IPS |
|
|
Style Transfer (HP)
|
100% |
227480
292.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70020
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16221
599.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28422
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10834
401.2 IPS |
|
|
Text Classification (SP)
|
100% |
2057
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1006
18.9 IPS |
