MSI MSIS366
Geekbench AI Score
2735
Single Precision Score
2740
Half Precision Score
1611
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 05 2025 05:02 PM |
| Views | 6 |
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% |
1838
341.9 IPS |
|
|
Image Classification (HP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (Q)
|
99% |
1007
187.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1082
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3101
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3139
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (Q)
|
85% |
1003
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (Q)
|
97% |
2680
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3194
24.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1909
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3563
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3559
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
5775
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1671
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (Q)
|
58% |
769
18.1 IPS |
