Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
30727
Single Precision Score
33803
Half Precision Score
23250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | HatSlapper |
| Upload Date | January 29 2025 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12409
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13233
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10417
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19047
308.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17510
283.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17305
281.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
251088
293.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
336282
392.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
227395
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
15803
1.25 KIPS |
|
|
Object Detection (HP)
|
99% |
16474
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
12936
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
40718
483.8 IPS |
|
|
Face Detection (HP)
|
100% |
44524
529.0 IPS |
|
|
Face Detection (Q)
|
97% |
35756
426.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
72958
562.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84145
648.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
54034
433.0 IPS |
|
|
Style Transfer (SP)
|
100% |
416109
534.9 IPS |
|
|
Style Transfer (HP)
|
100% |
582508
748.8 IPS |
|
|
Style Transfer (Q)
|
98% |
365409
471.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45654
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53554
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32650
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2103
39.4 IPS |
