MAXSUN MS-Terminator B650M
Geekbench AI Score
3650
Single Precision Score
1713
Half Precision Score
8839
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | December 23 2025 06:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MAXSUN MS-Terminator B650M |
| Motherboard | MAXSUN MS-Terminator B650M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2761
513.5 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
7618
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8705
141.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4759
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
20912
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
8031
645.4 IPS |
|
|
Face Detection (SP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10320
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6093
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16425
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12602
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10455
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26609
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6282
232.6 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4859
97.6 IPS |
