Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
7918
Single Precision Score
9162
Half Precision Score
6369
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 02:32 AM |
| Views | 8 |
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% |
3466
644.6 IPS |
|
|
Image Classification (HP)
|
100% |
3901
725.4 IPS |
|
|
Image Classification (Q)
|
100% |
2922
543.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4468
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4760
77.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3909
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47841
55.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
73253
85.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
42293
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
4064
322.3 IPS |
|
|
Object Detection (HP)
|
100% |
4063
322.3 IPS |
|
|
Object Detection (Q)
|
88% |
3444
276.1 IPS |
|
|
Face Detection (SP)
|
100% |
10557
125.4 IPS |
|
|
Face Detection (HP)
|
100% |
12025
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
8990
107.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21650
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25485
196.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16407
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
97082
124.8 IPS |
|
|
Style Transfer (HP)
|
100% |
137578
176.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77506
99.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12489
461.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14908
550.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9055
335.3 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
745
997.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
70% |
856
16.1 IPS |
