MAXSUN MS-eSport B650ITX
Geekbench AI Score
2864
Single Precision Score
2861
Half Precision Score
1903
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | YGRIG |
| Upload Date | April 05 2025 07:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu Plucky Puffin (development branch) |
| Model | MAXSUN MS-eSport B650ITX |
| Motherboard | MAXSUN MS-eSport B650ITX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.49 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
1878
349.2 IPS |
|
|
Image Classification (Q)
|
99% |
1247
232.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1297
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
3569
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (Q)
|
85% |
1306
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4076
48.4 IPS |
|
|
Face Detection (Q)
|
97% |
3068
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3262
25.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2387
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3794
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3797
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6625
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1896
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1021
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4103
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (Q)
|
58% |
883
20.7 IPS |
