MAXSUN MS-eSport B650ITX - 2x16GB@5600 MAXSUN MS-eSport B650ITX
Geekbench AI Score
2857
Single Precision Score
2863
Half Precision Score
1904
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | YGRIG |
| Upload Date | August 07 2025 06:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | MAXSUN MS-eSport B650ITX |
| Motherboard | MAXSUN MS-eSport B650ITX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| 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 | 30.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.8 IPS |
|
|
Image Classification (Q)
|
99% |
1248
232.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1289
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3038
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3042
3.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3549
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (Q)
|
85% |
1307
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (Q)
|
97% |
3064
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3246
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3270
25.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2381
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3759
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3763
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6580
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2458
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1888
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1028
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
58% |
904
21.2 IPS |
