Hewlett-Packard HP Z230 SFF Workstation
Geekbench AI Score
890
Single Precision Score
523
Half Precision Score
939
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1265L v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z230 SFF Workstation |
| Motherboard | Hewlett-Packard 1906 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1265L v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
96% |
729
136.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1517
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (Q)
|
87% |
1931
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
533
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
96% |
1220
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.98 IPS |
|
|
Depth Estimation (Q)
|
77% |
1639
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3869
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3038
3.90 IPS |
|
|
Style Transfer (Q)
|
87% |
3760
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
789
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (Q)
|
97% |
267
357.6 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
60% |
667
14.9 IPS |
