Hewlett-Packard HP Z420 Workstation
Geekbench AI Score
3544
Single Precision Score
3557
Half Precision Score
2542
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | September 29 2025 07:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z420 Workstation |
| Motherboard | Hewlett-Packard 1589 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1442
268.3 IPS |
|
|
Image Classification (Q)
|
100% |
1171
217.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1566
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12521
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11894
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10719
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (Q)
|
83% |
1450
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
2508
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6769
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6652
51.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5177
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21473
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21389
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17792
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
622
833.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1839
31.8 IPS |
|
|
Machine Translation (Q)
|
70% |
817
15.3 IPS |
