MSI MSIS366
Geekbench AI Score
87
Single Precision Score
87
Half Precision Score
56
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | iPhil |
| Upload Date | March 05 2025 06:13 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% |
51
9.48 IPS |
|
|
Image Classification (HP)
|
100% |
51
9.44 IPS |
|
|
Image Classification (Q)
|
97% |
35
6.45 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
46
0.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
56
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.87 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (Q)
|
87% |
33
2.65 IPS |
|
|
Face Detection (SP)
|
100% |
168
1.99 IPS |
|
|
Face Detection (HP)
|
100% |
168
2.00 IPS |
|
|
Face Detection (Q)
|
97% |
113
1.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
118
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
118
0.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
67
0.62 IPS |
|
|
Style Transfer (SP)
|
100% |
244
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
244
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
171
0.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53
1.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36
1.32 IPS |
|
|
Text Classification (SP)
|
100% |
66
87.7 IPS |
|
|
Text Classification (HP)
|
100% |
66
87.7 IPS |
|
|
Text Classification (Q)
|
91% |
43
58.0 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (Q)
|
58% |
53
1.26 IPS |
