MAXSUN MS-eSport B650ITX
Geekbench AI Score
7131
Single Precision Score
2721
Half Precision Score
8946
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 22 2025 06:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MAXSUN MS-eSport B650ITX |
| Motherboard | MAXSUN MS-eSport B650ITX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| 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% |
6730
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
1051
195.4 IPS |
|
|
Image Classification (Q)
|
99% |
12740
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10318
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
40779
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5365
425.5 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.4 IPS |
|
|
Object Detection (Q)
|
86% |
8604
691.5 IPS |
|
|
Face Detection (SP)
|
100% |
10600
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
13278
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16073
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4027
31.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26342
210.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27805
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19567
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36407
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6361
235.5 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (Q)
|
97% |
624
835.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5222
104.9 IPS |
