MSI MSIS366
Geekbench AI Score
2781
Single Precision Score
2789
Half Precision Score
1593
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 05 2025 05:02 PM |
| Views | 5 |
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% |
1908
354.9 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.1 IPS |
|
|
Image Classification (Q)
|
99% |
949
177.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2659
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1072
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
3155
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (Q)
|
85% |
991
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
2705
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3232
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1909
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3501
4.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5843
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1671
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (Q)
|
58% |
767
18.0 IPS |
