Micro-Star International Co., Ltd. MS-7C56
Geekbench ML Score
22156
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 02:53 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10952
2.05 KIPS |
|
|
Image Classification (F16)
|
100% |
11694
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
10681
2.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12005
200.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
16244
271.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
14807
247.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
168770
204.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
184218
223.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
154628
187.2 IPS |
|
|
Object Detection (F32)
|
100% |
5420
404.6 IPS |
|
|
Object Detection (F16)
|
100% |
5616
419.2 IPS |
|
|
Object Detection (I8)
|
56% |
5828
435.1 IPS |
|
|
Face Detection (F32)
|
100% |
29720
353.4 IPS |
|
|
Face Detection (F16)
|
100% |
36206
430.5 IPS |
|
|
Face Detection (I8)
|
89% |
30841
366.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64490
500.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
66610
516.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
56630
439.2 IPS |
|
|
Style Transfer (F32)
|
100% |
293301
385.8 IPS |
|
|
Style Transfer (F16)
|
100% |
295996
389.4 IPS |
|
|
Style Transfer (I8)
|
98% |
269141
354.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22902
817.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24740
883.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
28672
1.02 KIPS |
|
|
Text Classification (F32)
|
100% |
3172
4.56 KIPS |
|
|
Text Classification (F16)
|
100% |
3738
5.37 KIPS |
|
|
Text Classification (I8)
|
98% |
2603
3.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4629
85.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4969
91.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3164
58.2 IPS |
