Hewlett-Packard HP Z230 Tower Workstation
Geekbench AI Score
816
Single Precision Score
808
Half Precision Score
590
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E3-1270 v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Hewlett-Packard HP Z230 Tower Workstation |
| Motherboard | Hewlett-Packard 1905 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1270 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
99% |
393
73.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
429
6.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
1024
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
85% |
438
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
910
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
795
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1243
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1256
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1992
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
299
402.1 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
58% |
288
6.76 IPS |
