Micro-Star International Co., Ltd. MS-7D54
Geekbench ML Score
13662
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 14 2026 03:01 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9431
1.76 KIPS |
|
|
Image Classification (F16)
|
100% |
6260
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
6663
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11001
183.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
10882
181.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9794
163.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
92944
112.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93820
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84688
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
4226
315.5 IPS |
|
|
Object Detection (F16)
|
100% |
4263
318.2 IPS |
|
|
Object Detection (I8)
|
56% |
4039
301.6 IPS |
|
|
Face Detection (F32)
|
100% |
20995
249.6 IPS |
|
|
Face Detection (F16)
|
100% |
21302
253.3 IPS |
|
|
Face Detection (I8)
|
89% |
17840
212.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34839
270.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
34672
268.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
29348
227.6 IPS |
|
|
Style Transfer (F32)
|
100% |
163105
214.6 IPS |
|
|
Style Transfer (F16)
|
100% |
161206
212.1 IPS |
|
|
Style Transfer (I8)
|
98% |
148646
195.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19196
685.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19860
709.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15576
556.3 IPS |
|
|
Text Classification (F32)
|
100% |
1822
2.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1810
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1255
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
3050
56.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3046
56.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1860
34.2 IPS |
