GIGABYTE MC12-LE0-00
Geekbench AI Score
1151
Single Precision Score
1158
Half Precision Score
870
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | GIGABYTE MC12-LE0-00 |
| Motherboard | GIGABYTE MC12-LE0-00 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 78.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
819
152.2 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.1 IPS |
|
|
Image Classification (Q)
|
99% |
524
97.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1597
1.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
1689
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
873
69.3 IPS |
|
|
Object Detection (Q)
|
85% |
561
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1247
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1342
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1163
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1806
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1806
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
860
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
449
603.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
58% |
417
9.78 IPS |
