Hewlett-Packard HP Z230 Tower Workstation
Geekbench AI Score
3253
Single Precision Score
3239
Half Precision Score
2409
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | April 06 2026 03:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| 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% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (Q)
|
99% |
618
115.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17189
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9474
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14619
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (Q)
|
83% |
849
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6420
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5856
45.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5200
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28878
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17499
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23667
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6406
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4007
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
726
973.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2139
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
877
16.4 IPS |
