HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
11725
Single Precision Score
22709
Half Precision Score
7926
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | February 07 2026 12:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 12GB |
| 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% |
4737
880.9 IPS |
|
|
Image Classification (HP)
|
99% |
9160
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
3727
695.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9037
146.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15405
249.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6869
111.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
43786
51.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146058
170.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
37622
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
5846
463.7 IPS |
|
|
Object Detection (HP)
|
100% |
12617
1.00 KIPS |
|
|
Object Detection (Q)
|
84% |
4597
370.8 IPS |
|
|
Face Detection (SP)
|
100% |
14246
169.3 IPS |
|
|
Face Detection (HP)
|
100% |
25247
300.0 IPS |
|
|
Face Detection (Q)
|
97% |
11361
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26514
204.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59555
460.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
19158
153.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77183
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
249286
320.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67040
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16487
608.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29492
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10310
381.8 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1348
25.3 IPS |
