Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8051
Single Precision Score
9333
Half Precision Score
6423
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 04:30 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% |
3482
647.5 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.4 IPS |
|
|
Image Classification (Q)
|
100% |
2965
551.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4611
74.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4821
78.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3984
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
49096
57.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
78143
91.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
43337
50.8 IPS |
|
|
Object Detection (SP)
|
100% |
4134
327.9 IPS |
|
|
Object Detection (HP)
|
100% |
4160
329.9 IPS |
|
|
Object Detection (Q)
|
88% |
3483
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
10935
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
12050
143.2 IPS |
|
|
Face Detection (Q)
|
97% |
9131
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22101
170.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26056
200.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16686
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
97813
125.7 IPS |
|
|
Style Transfer (HP)
|
100% |
142541
183.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79991
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12861
474.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15087
557.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9272
343.3 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
692
926.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (Q)
|
70% |
858
16.1 IPS |
