Hewlett-Packard HP Z230 Tower Workstation
Geekbench AI Score
1324
Single Precision Score
713
Half Precision Score
1676
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | April 06 2026 03:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1246 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z230 Tower Workstation |
| Motherboard | Hewlett-Packard 1905 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1246 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2127
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1822
2.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
2631
3.11 IPS |
|
|
Object Detection (SP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
58% |
881
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (Q)
|
96% |
2677
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2779
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
3004
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5411
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
4387
5.64 IPS |
|
|
Style Transfer (Q)
|
87% |
4922
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1294
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
487
650.2 IPS |
|
|
Text Classification (Q)
|
97% |
746
999.1 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1072
20.7 IPS |
