MAXSUN MS-eSport B650ITX
Geekbench AI Score
11106
Single Precision Score
11224
Half Precision Score
8557
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mr_Sohel |
| Upload Date | August 06 2025 02:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| 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% |
4920
915.0 IPS |
|
|
Image Classification (HP)
|
100% |
4796
891.9 IPS |
|
|
Image Classification (Q)
|
99% |
4234
789.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6553
106.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9778
158.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5791
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
73126
85.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
66797
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59190
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
6147
487.6 IPS |
|
|
Object Detection (HP)
|
99% |
6334
503.9 IPS |
|
|
Object Detection (Q)
|
85% |
5226
420.5 IPS |
|
|
Face Detection (SP)
|
100% |
16029
190.5 IPS |
|
|
Face Detection (HP)
|
100% |
16138
191.8 IPS |
|
|
Face Detection (Q)
|
97% |
12946
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28251
217.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
27815
215.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
22149
177.3 IPS |
|
|
Style Transfer (SP)
|
100% |
158174
203.3 IPS |
|
|
Style Transfer (HP)
|
100% |
133922
172.2 IPS |
|
|
Style Transfer (Q)
|
98% |
118365
152.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15915
587.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21219
783.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11494
425.6 IPS |
|
|
Text Classification (SP)
|
86% |
799
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.7 IPS |
|
|
Text Classification (Q)
|
84% |
617
837.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1154
21.6 IPS |
