Hewlett-Packard HP Z230 SFF Workstation
Geekbench AI Score
791
Single Precision Score
799
Half Precision Score
566
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | VampirSilphy |
| Upload Date | November 29 2024 08:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E3-1225 v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Hewlett-Packard HP Z230 SFF Workstation |
| Motherboard | Hewlett-Packard 1906 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1225 v3 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
99% |
373
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
423
6.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
960
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
951
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
955
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
85% |
414
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
891
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
928
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
921
7.09 IPS |
|
|
Depth Estimation (Q)
|
63% |
767
7.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1200
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1206
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1915
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
523
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
291
391.2 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
58% |
272
6.38 IPS |
