MSI MSIS366
Geekbench AI Score
2761
Single Precision Score
2774
Half Precision Score
1634
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 05 2025 05:08 PM |
| Views | 16 |
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% |
1869
347.6 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
99% |
1057
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1087
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3102
3.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3161
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (Q)
|
85% |
1033
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (Q)
|
97% |
2712
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3218
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3212
24.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1936
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3497
4.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3526
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5846
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
58% |
771
18.1 IPS |
