MAXSUN MS-Terminator B650M
Geekbench AI Score
4146
Single Precision Score
1769
Half Precision Score
7655
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rodbr |
| Upload Date | February 13 2026 06:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MAXSUN MS-Terminator B650M |
| Motherboard | MAXSUN MS-Terminator B650M |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3190
593.2 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
99% |
8137
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6474
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7140
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5950
6.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
34471
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
7596
610.5 IPS |
|
|
Face Detection (SP)
|
100% |
7063
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10178
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8727
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2679
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18927
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16527
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16018
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32601
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2206
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
471
631.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3542
71.2 IPS |
