ECS H61H2-MV
Geekbench AI Score
8681
Single Precision Score
8487
Half Precision Score
6504
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | chuk |
| Upload Date | January 12 2025 03:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| 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% |
2548
473.9 IPS |
|
|
Image Classification (HP)
|
100% |
3859
717.7 IPS |
|
|
Image Classification (Q)
|
100% |
2214
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4685
75.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4582
74.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3957
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
68267
79.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
37913
44.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
53545
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (Q)
|
84% |
2764
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
6076
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
8716
103.6 IPS |
|
|
Face Detection (Q)
|
97% |
5265
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21839
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18996
146.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16288
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
110674
142.3 IPS |
|
|
Style Transfer (HP)
|
100% |
62797
80.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83848
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19978
737.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15047
555.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11877
439.8 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1945
33.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1159
21.7 IPS |
