Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
1317
Single Precision Score
1328
Half Precision Score
962
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | cjcox |
| Upload Date | November 20 2024 11:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v3 |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v3 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 157.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (HP)
|
100% |
1041
193.6 IPS |
|
|
Image Classification (Q)
|
99% |
658
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
636
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
2861
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (Q)
|
85% |
708
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1433
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1430
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1480
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1311
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2054
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1964
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3543
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1058
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
343
460.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
58% |
332
7.79 IPS |
