ECT
Geekbench AI Score
962
Single Precision Score
532
Half Precision Score
1325
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 14 2025 03:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ECT |
| Motherboard | ASRock H110M-DGS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
2265
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
58% |
708
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (Q)
|
96% |
2109
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
2384
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3349
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2449
3.15 IPS |
|
|
Style Transfer (Q)
|
87% |
4376
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
624
832.9 IPS |
|
|
Text Classification (HP)
|
100% |
396
528.1 IPS |
|
|
Text Classification (Q)
|
97% |
680
910.6 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
68% |
968
18.7 IPS |
