MicroElectronics G461
Geekbench AI Score
1496
Single Precision Score
1497
Half Precision Score
932
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
1243
231.1 IPS |
|
|
Image Classification (Q)
|
99% |
566
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1764
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1763
2.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
1864
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (Q)
|
85% |
675
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1384
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1667
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1307
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1982
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1982
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3478
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
434
582.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (Q)
|
58% |
375
8.80 IPS |
