MAXSUN MS-Challenger B850M-K
Geekbench AI Score
7117
Single Precision Score
7183
Half Precision Score
19757
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | September 07 2025 07:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-Challenger B850M-K |
| Motherboard | MAXSUN MS-Challenger B850M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4772
887.4 IPS |
|
|
Image Classification (HP)
|
100% |
4823
896.9 IPS |
|
|
Image Classification (Q)
|
100% |
12827
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4745
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4690
76.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14477
234.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
8540
9.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
34063
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
4308
341.7 IPS |
|
|
Object Detection (HP)
|
100% |
4256
337.6 IPS |
|
|
Object Detection (Q)
|
88% |
13222
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
9716
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
9724
115.5 IPS |
|
|
Face Detection (Q)
|
100% |
33272
395.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10639
82.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10970
84.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34657
269.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23097
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23367
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90109
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17347
642.4 IPS |
|
|
Text Classification (SP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6448
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
7421
127.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7606
131.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9327
160.7 IPS |
