Maxsun MS-Terminator B760M D5
Geekbench ML Score
2331
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | June 23 2025 07:47 AM |
| Views | 4 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX550/550 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1065
199.3 IPS |
|
|
Image Classification (F16)
|
100% |
1065
199.4 IPS |
|
|
Image Classification (I8)
|
99% |
828
155.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
909
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
899
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
773
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13178
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13239
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10573
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1150
85.9 IPS |
|
|
Object Detection (F16)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (I8)
|
67% |
912
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (F16)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (I8)
|
89% |
1881
22.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6493
50.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6479
50.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4718
36.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19064
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18937
24.9 IPS |
|
|
Style Transfer (I8)
|
98% |
15220
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3614
129.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4344
155.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2776
99.1 IPS |
|
|
Text Classification (F32)
|
100% |
655
941.5 IPS |
|
|
Text Classification (F16)
|
100% |
640
920.4 IPS |
|
|
Text Classification (I8)
|
98% |
391
561.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1147
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (I8)
|
69% |
578
10.6 IPS |
