MAXSUN MS-eSport B650ITX
Geekbench AI Score
24751
Single Precision Score
46628
Half Precision Score
19039
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | varunvaidhiya |
| Upload Date | September 14 2025 11:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10603
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
19803
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
9767
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17724
287.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26427
428.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16178
263.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
129344
150.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
423938
494.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
119851
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
12840
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
23160
1.84 KIPS |
|
|
Object Detection (Q)
|
83% |
10960
885.5 IPS |
|
|
Face Detection (SP)
|
100% |
33943
403.3 IPS |
|
|
Face Detection (HP)
|
100% |
58595
696.2 IPS |
|
|
Face Detection (Q)
|
97% |
29479
351.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57921
446.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
125068
963.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
46452
370.8 IPS |
|
|
Style Transfer (SP)
|
100% |
183131
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
644655
828.7 IPS |
|
|
Style Transfer (Q)
|
98% |
157695
203.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35809
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68162
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26956
998.1 IPS |
|
|
Text Classification (SP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5920
102.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2098
39.4 IPS |
