Hewlett-Packard HP Z620 Workstation
Geekbench AI Score
704
Single Precision Score
355
Half Precision Score
622
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | rybo169qaz |
| Upload Date | January 13 2025 12:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z620 Workstation |
| Motherboard | Hewlett-Packard 158A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
96% |
496
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
341
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
1081
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
58% |
378
41.3 IPS |
|
|
Face Detection (SP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
96% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
538
4.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
1178
9.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2714
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2142
2.75 IPS |
|
|
Style Transfer (Q)
|
87% |
2317
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
495
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
395
526.7 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.7 IPS |
|
|
Text Classification (Q)
|
97% |
160
214.6 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.14 IPS |
|
|
Machine Translation (Q)
|
68% |
512
9.90 IPS |
