MAXSUN MS-Terminator B650M
Geekbench AI Score
5969
Single Precision Score
6041
Half Precision Score
16792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | December 23 2025 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| 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% |
3718
691.5 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.5 IPS |
|
|
Image Classification (Q)
|
100% |
10924
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4297
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11249
182.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6612
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (Q)
|
98% |
27000
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3611
286.4 IPS |
|
|
Object Detection (HP)
|
100% |
3596
285.2 IPS |
|
|
Object Detection (Q)
|
88% |
10891
873.0 IPS |
|
|
Face Detection (SP)
|
100% |
8813
104.7 IPS |
|
|
Face Detection (HP)
|
100% |
9052
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
27158
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9009
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9071
69.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
27249
212.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18109
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19303
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71857
92.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4267
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14294
529.4 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
6541
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6583
113.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9923
170.9 IPS |
