HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
23527
Single Precision Score
36858
Half Precision Score
14075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 06:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
8639
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
13766
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
6034
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16458
266.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23453
380.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11976
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
130222
151.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
381927
445.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
102914
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
11638
923.1 IPS |
|
|
Object Detection (HP)
|
100% |
16932
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
8145
655.2 IPS |
|
|
Face Detection (SP)
|
100% |
31811
378.0 IPS |
|
|
Face Detection (HP)
|
100% |
45157
536.6 IPS |
|
|
Face Detection (Q)
|
97% |
21565
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
60951
469.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103243
795.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35179
281.8 IPS |
|
|
Style Transfer (SP)
|
100% |
233859
300.6 IPS |
|
|
Style Transfer (HP)
|
100% |
559813
719.6 IPS |
|
|
Style Transfer (Q)
|
98% |
171856
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35669
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44761
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19326
715.6 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1271
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1573
29.5 IPS |
