Hewlett-Packard HP Z640 Workstation
Geekbench AI Score
1898
Single Precision Score
1873
Half Precision Score
2555
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 03 2025 10:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z640 Workstation |
| Motherboard | Hewlett-Packard 212A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.8 IPS |
|
|
Image Classification (HP)
|
100% |
1060
197.2 IPS |
|
|
Image Classification (Q)
|
100% |
1716
319.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2039
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
3747
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
1164
92.4 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.3 IPS |
|
|
Object Detection (Q)
|
87% |
1794
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
4733
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2905
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2891
22.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4449
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6367
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
6386
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
11209
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2325
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (Q)
|
91% |
509
683.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1809
31.2 IPS |
