HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
11384
Single Precision Score
22266
Half Precision Score
7901
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 16 2025 11:11 AM |
| Views | 3 |
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 | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4817
895.7 IPS |
|
|
Image Classification (HP)
|
99% |
9887
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
3760
701.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8051
130.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13251
214.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6408
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45138
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
150722
175.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
39212
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5848
463.9 IPS |
|
|
Object Detection (HP)
|
100% |
12627
1.00 KIPS |
|
|
Object Detection (Q)
|
84% |
4525
365.0 IPS |
|
|
Face Detection (SP)
|
100% |
13535
160.8 IPS |
|
|
Face Detection (HP)
|
100% |
24381
289.7 IPS |
|
|
Face Detection (Q)
|
97% |
11115
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26196
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58043
448.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
18977
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80926
104.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244429
314.2 IPS |
|
|
Style Transfer (Q)
|
98% |
65205
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15777
582.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31590
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10906
403.8 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3361
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1213
22.8 IPS |
