Hewlett-Packard HP Z230 SFF Workstation
Geekbench AI Score
1640
Single Precision Score
1635
Half Precision Score
1929
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1265L v3 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z230 SFF Workstation |
| Motherboard | Hewlett-Packard 1906 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1265L v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (Q)
|
100% |
1202
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1241
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
2674
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
87% |
1195
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
3268
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2650
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2764
21.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3169
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6466
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
6505
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7618
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1594
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (Q)
|
91% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1455
25.1 IPS |
