MAXSUN MS-Challenger B650M WIFI ICE
Geekbench AI Score
21409
Single Precision Score
22419
Half Precision Score
16422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-Challenger B650M WIFI ICE |
| Motherboard | MAXSUN MS-Challenger B650M WIFI ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9566
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
7272
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14557
236.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11094
179.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12082
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
119878
139.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
182212
212.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
100759
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
10230
811.4 IPS |
|
|
Object Detection (HP)
|
100% |
7988
633.6 IPS |
|
|
Object Detection (Q)
|
87% |
8763
703.8 IPS |
|
|
Face Detection (SP)
|
100% |
29035
345.0 IPS |
|
|
Face Detection (HP)
|
100% |
32417
385.2 IPS |
|
|
Face Detection (Q)
|
97% |
22644
270.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
50746
391.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57141
440.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
38082
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
214301
275.5 IPS |
|
|
Style Transfer (HP)
|
100% |
266190
342.2 IPS |
|
|
Style Transfer (Q)
|
98% |
171396
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36347
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43143
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25297
936.7 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1714
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2610
48.9 IPS |
