Hewlett-Packard HP Z230 SFF Workstation
Geekbench AI Score
856
Single Precision Score
514
Half Precision Score
937
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:18 PM |
| Views | 10 |
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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (Q)
|
96% |
677
126.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
610
9.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1262
1.47 IPS |
|
|
Pose Estimation (Q)
|
87% |
1998
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
537
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
754
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (Q)
|
96% |
1254
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
1635
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3846
4.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3093
3.98 IPS |
|
|
Style Transfer (Q)
|
87% |
3721
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
796
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
720
960.6 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.3 IPS |
|
|
Text Classification (Q)
|
97% |
277
371.2 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (Q)
|
60% |
700
15.6 IPS |
