Maxsun MS-Terminator B760M D5
Geekbench AI Score
2842
Single Precision Score
3019
Half Precision Score
2009
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | June 23 2025 07:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX550/550 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Maxsun MS-Terminator B760M D5 |
| Motherboard | Maxsun MS-Terminator B760M D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
100% |
989
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13724
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13799
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10981
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (Q)
|
88% |
1102
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
2311
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6822
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7566
58.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4905
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19511
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20905
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15523
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2689
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.3 IPS |
|
|
Text Classification (HP)
|
100% |
681
908.6 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1131
19.6 IPS |
|
|
Machine Translation (Q)
|
70% |
539
10.1 IPS |
