HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
11723
Single Precision Score
22839
Half Precision Score
8008
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | February 07 2026 12:34 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% |
4670
868.4 IPS |
|
|
Image Classification (HP)
|
99% |
9264
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
3779
704.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8994
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15300
248.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7125
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
43543
50.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148878
173.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
37917
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
6096
483.5 IPS |
|
|
Object Detection (HP)
|
100% |
12355
980.0 IPS |
|
|
Object Detection (Q)
|
84% |
4677
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
14075
167.2 IPS |
|
|
Face Detection (HP)
|
100% |
25478
302.7 IPS |
|
|
Face Detection (Q)
|
97% |
11371
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27350
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58561
452.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
19301
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77003
99.0 IPS |
|
|
Style Transfer (HP)
|
100% |
261713
336.4 IPS |
|
|
Style Transfer (Q)
|
98% |
66231
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15945
588.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29898
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10620
393.3 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1369
25.7 IPS |
