Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
2625
Single Precision Score
987
Half Precision Score
2215
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 07:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1660 v4 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1660 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4908
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3701
4.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
5190
6.14 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
58% |
1349
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
4113
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4152
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6285
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5350
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10281
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7848
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
8995
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1607
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
491
654.8 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1375
26.6 IPS |
