MSI MSIS366
Geekbench AI Score
86
Single Precision Score
86
Half Precision Score
55
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% |
50
9.38 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.35 IPS |
|
|
Image Classification (Q)
|
97% |
34
6.39 IPS |
|
|
Image Segmentation (SP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
46
0.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
80
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
80
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
55
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.84 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.84 IPS |
|
|
Object Detection (Q)
|
87% |
33
2.63 IPS |
|
|
Face Detection (SP)
|
100% |
167
1.98 IPS |
|
|
Face Detection (HP)
|
100% |
167
1.98 IPS |
|
|
Face Detection (Q)
|
97% |
112
1.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
117
0.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
67
0.61 IPS |
|
|
Style Transfer (SP)
|
100% |
242
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
242
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
169
0.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52
1.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52
1.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
35
1.31 IPS |
|
|
Text Classification (SP)
|
100% |
65
87.1 IPS |
|
|
Text Classification (HP)
|
100% |
65
87.1 IPS |
|
|
Text Classification (Q)
|
91% |
43
57.4 IPS |
|
|
Machine Translation (SP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (HP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (Q)
|
58% |
52
1.25 IPS |
