MSI MSIS366
Geekbench AI Score
2763
Single Precision Score
2772
Half Precision Score
1629
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% |
1863
346.5 IPS |
|
|
Image Classification (HP)
|
100% |
1870
347.7 IPS |
|
|
Image Classification (Q)
|
99% |
1044
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2643
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3107
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3161
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (Q)
|
85% |
1023
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2706
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3220
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3236
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1939
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3506
4.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5834
7.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3579
61.7 IPS |
|
|
Machine Translation (Q)
|
58% |
771
18.1 IPS |
