MSI MSIS366
Geekbench AI Score
2730
Single Precision Score
2732
Half Precision Score
1611
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 05 2025 05:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 4244P 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | MSI MSIS366 |
| Motherboard | MSI S3661 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4244P 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.17 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1839
341.9 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.5 IPS |
|
|
Image Classification (Q)
|
99% |
1003
187.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1082
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3087
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3141
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (Q)
|
85% |
999
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
2682
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3194
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1909
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3506
4.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3517
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5828
7.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (Q)
|
58% |
764
17.9 IPS |
