Hewlett-Packard HP Z230 Tower Workstation
Geekbench AI Score
1891
Single Precision Score
1900
Half Precision Score
2192
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | April 06 2026 03:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1246 v3 @ 3.50GHz |
| 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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1585
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2424
2.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
3137
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
87% |
1411
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
3934
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3095
23.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3707
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7578
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
7540
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
9027
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1878
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
91% |
646
868.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1610
27.7 IPS |
