Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
15047
Single Precision Score
17469
Half Precision Score
9628
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mystline |
| Upload Date | February 04 2026 08:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN V |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5868
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6290
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
4220
784.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7566
122.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8889
144.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5742
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125475
146.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
206662
241.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
88984
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
7191
570.4 IPS |
|
|
Object Detection (HP)
|
100% |
7613
603.9 IPS |
|
|
Object Detection (Q)
|
85% |
5092
409.9 IPS |
|
|
Face Detection (SP)
|
100% |
16665
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
19730
234.4 IPS |
|
|
Face Detection (Q)
|
97% |
11667
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45683
352.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43996
339.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
26161
209.1 IPS |
|
|
Style Transfer (SP)
|
100% |
196472
252.6 IPS |
|
|
Style Transfer (HP)
|
100% |
248702
319.7 IPS |
|
|
Style Transfer (Q)
|
98% |
126439
163.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27780
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27713
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15444
571.9 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2089
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1030
19.3 IPS |
