ECS H61H2-MV
Geekbench AI Score
722
Single Precision Score
721
Half Precision Score
1128
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | chuk |
| Upload Date | January 10 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1230 V2 @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ECS H61H2-MV |
| Motherboard | ECS H61H2-MV |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1230V2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.1 IPS |
|
|
Image Classification (Q)
|
100% |
735
136.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
1537
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
87% |
743
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
2055
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1268
9.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1268
9.77 IPS |
|
|
Depth Estimation (Q)
|
81% |
1902
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1984
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
2004
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4616
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
930
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (HP)
|
100% |
665
887.1 IPS |
|
|
Text Classification (Q)
|
91% |
417
561.0 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
100% |
660
11.4 IPS |
