Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
1515
Single Precision Score
1520
Half Precision Score
842
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | intender |
| Upload Date | January 09 2025 04:56 AM |
| Views | 2 |
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% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
1219
226.8 IPS |
|
|
Image Classification (Q)
|
99% |
615
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
562
9.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1827
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (Q)
|
85% |
682
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1347
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1746
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1156
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2075
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2058
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3286
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
850
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
336
450.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
58% |
266
6.25 IPS |
