MAXSUN MS-eSport B650ITX
Geekbench AI Score
12439
Single Precision Score
19522
Half Precision Score
20019
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mr_Sohel |
| Upload Date | August 06 2025 02:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| 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% |
5528
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7747
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
7922
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11313
183.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14390
233.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14679
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
64048
74.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
190067
221.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
250747
293.6 IPS |
|
|
Object Detection (SP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (HP)
|
100% |
8960
710.7 IPS |
|
|
Object Detection (Q)
|
88% |
9340
748.5 IPS |
|
|
Face Detection (SP)
|
100% |
21044
250.0 IPS |
|
|
Face Detection (HP)
|
100% |
28355
336.9 IPS |
|
|
Face Detection (Q)
|
100% |
29396
349.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24476
188.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52506
404.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
55391
430.6 IPS |
|
|
Style Transfer (SP)
|
100% |
173468
223.0 IPS |
|
|
Style Transfer (HP)
|
100% |
283827
364.9 IPS |
|
|
Style Transfer (Q)
|
98% |
341913
440.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16997
627.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25086
926.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24846
920.1 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2471
42.6 IPS |
