Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
885
Single Precision Score
804
Half Precision Score
367
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | intender |
| Upload Date | January 09 2025 04:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2687W v3 |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
99% |
63
11.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
149
2.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
946
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1020
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
85% |
376
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
622
7.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1202
9.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
666
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1802
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1797
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2224
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
204
274.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
58% |
117
2.75 IPS |
