Hewlett-Packard HP Z230 Tower Workstation
Geekbench AI Score
6445
Single Precision Score
5452
Half Precision Score
4676
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 01 2025 03:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2626
488.4 IPS |
|
|
Image Classification (HP)
|
100% |
2644
491.7 IPS |
|
|
Image Classification (Q)
|
99% |
2298
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3361
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24424
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16731
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
20504
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3248
257.7 IPS |
|
|
Object Detection (Q)
|
83% |
2637
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
5974
71.0 IPS |
|
|
Face Detection (Q)
|
97% |
5285
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14916
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11845
91.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11159
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46852
60.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32297
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37624
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8654
319.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7778
287.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5953
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2427
42.0 IPS |
|
|
Machine Translation (Q)
|
70% |
973
18.3 IPS |
