Hewlett-Packard HP Z420 Workstation
Geekbench AI Score
637
Single Precision Score
341
Half Precision Score
682
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | February 21 2025 11:01 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z420 Workstation |
| Motherboard | Hewlett-Packard 1589 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
96% |
530
98.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
405
6.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
1110
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
400
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
96% |
1331
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1109
8.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
505
3.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
1258
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2194
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1899
2.44 IPS |
|
|
Style Transfer (Q)
|
87% |
2542
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
355
474.2 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.2 IPS |
|
|
Text Classification (Q)
|
97% |
175
234.8 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (Q)
|
68% |
577
11.1 IPS |
