HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
21603
Single Precision Score
34566
Half Precision Score
16679
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 16 2025 12:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8900
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
15019
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
7830
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14664
237.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18999
308.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13095
212.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
115099
134.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
303667
354.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
104415
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
10999
872.5 IPS |
|
|
Object Detection (HP)
|
100% |
18292
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
9462
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
28545
339.2 IPS |
|
|
Face Detection (HP)
|
100% |
40373
479.7 IPS |
|
|
Face Detection (Q)
|
97% |
23255
277.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
48058
370.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92526
712.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
37614
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
191330
246.0 IPS |
|
|
Style Transfer (HP)
|
100% |
479188
616.0 IPS |
|
|
Style Transfer (Q)
|
98% |
176478
227.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39053
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50374
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27859
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1918
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1995
37.4 IPS |
