Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
2024
Single Precision Score
753
Half Precision Score
1902
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Frankynator2000 |
| Upload Date | February 03 2025 07:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 v4 |
| 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 E5-2640 v4 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
870
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
4650
5.50 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
58% |
1253
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.71 IPS |
|
|
Face Detection (Q)
|
96% |
3751
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4864
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1072
8.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
4759
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8777
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6723
8.64 IPS |
|
|
Style Transfer (Q)
|
87% |
8748
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1387
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
375
500.2 IPS |
|
|
Text Classification (Q)
|
97% |
271
363.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1255
24.3 IPS |
