MAXSUN MS-eSport B650ITX
Geekbench AI Score
5174
Single Precision Score
5197
Half Precision Score
14615
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mr_Sohel |
| Upload Date | August 06 2025 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-eSport B650ITX |
| Motherboard | MAXSUN MS-eSport B650ITX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3221
598.9 IPS |
|
|
Image Classification (HP)
|
100% |
3269
608.0 IPS |
|
|
Image Classification (Q)
|
100% |
9314
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3684
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9538
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5954
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5976
6.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
23591
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
3085
244.7 IPS |
|
|
Object Detection (Q)
|
88% |
9620
771.2 IPS |
|
|
Face Detection (SP)
|
100% |
7228
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
7243
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
23888
283.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7755
59.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
23882
185.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16608
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16743
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
62720
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12580
465.9 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5885
101.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8800
151.6 IPS |
