ECS H61H2-MV
Geekbench AI Score
640
Single Precision Score
388
Half Precision Score
657
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | chuk |
| Upload Date | January 10 2025 01:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1230V2 |
| 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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
96% |
469
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
364
5.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
998
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (Q)
|
58% |
351
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
96% |
1043
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1157
8.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
555
4.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
1215
9.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2202
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2036
2.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2271
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
543
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.9 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.3 IPS |
|
|
Text Classification (Q)
|
97% |
260
348.1 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
68% |
622
12.0 IPS |
