MicroElectronics G461
Geekbench AI Score
2366
Single Precision Score
715
Half Precision Score
2816
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | MicroElectronics G461 |
| Motherboard | ASRock Z370 Gaming K6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
93% |
2131
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1854
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (Q)
|
87% |
8225
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
86% |
1498
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (Q)
|
96% |
3196
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4782
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
967
7.45 IPS |
|
|
Depth Estimation (Q)
|
77% |
4126
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11199
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8583
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10919
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2466
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.8 IPS |
|
|
Text Classification (Q)
|
97% |
1233
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1476
32.9 IPS |
