Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
7626
Single Precision Score
8656
Half Precision Score
6300
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 01:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon Pro V340 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.2 IPS |
|
|
Image Classification (Q)
|
100% |
2690
500.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4756
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4892
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4128
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
48012
56.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
73693
86.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
44953
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (Q)
|
84% |
2760
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
8970
106.6 IPS |
|
|
Face Detection (HP)
|
100% |
9518
113.1 IPS |
|
|
Face Detection (Q)
|
97% |
7693
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18712
144.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21012
161.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15140
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
99561
128.0 IPS |
|
|
Style Transfer (HP)
|
100% |
134207
172.5 IPS |
|
|
Style Transfer (Q)
|
98% |
83583
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14965
552.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17100
631.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10189
377.3 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
745
998.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1323
22.9 IPS |
|
|
Machine Translation (Q)
|
70% |
968
18.2 IPS |
