Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8067
Single Precision Score
9323
Half Precision Score
6437
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 02:29 AM |
| Views | 10 |
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% |
3468
645.0 IPS |
|
|
Image Classification (HP)
|
100% |
3996
743.1 IPS |
|
|
Image Classification (Q)
|
100% |
2963
551.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4619
74.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3980
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
49935
58.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
77151
90.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
42703
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
4138
328.3 IPS |
|
|
Object Detection (HP)
|
100% |
4152
329.3 IPS |
|
|
Object Detection (Q)
|
88% |
3489
279.7 IPS |
|
|
Face Detection (SP)
|
100% |
10837
128.8 IPS |
|
|
Face Detection (HP)
|
100% |
12063
143.3 IPS |
|
|
Face Detection (Q)
|
97% |
9125
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22035
169.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26058
200.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16780
134.4 IPS |
|
|
Style Transfer (SP)
|
100% |
98065
126.1 IPS |
|
|
Style Transfer (HP)
|
100% |
141319
181.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80737
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12804
472.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15233
562.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9271
343.3 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
707
946.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (Q)
|
70% |
858
16.1 IPS |
