Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
15849
Single Precision Score
23895
Half Precision Score
13106
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mystline |
| Upload Date | November 16 2025 02:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
6223
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
8559
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8161
132.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9505
154.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7712
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
113240
132.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
295832
345.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
106813
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
7485
593.7 IPS |
|
|
Object Detection (HP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (Q)
|
83% |
6690
540.5 IPS |
|
|
Face Detection (SP)
|
100% |
16641
197.7 IPS |
|
|
Face Detection (HP)
|
100% |
21041
250.0 IPS |
|
|
Face Detection (Q)
|
97% |
15362
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47266
364.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84585
651.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
39358
314.1 IPS |
|
|
Style Transfer (SP)
|
100% |
159069
204.5 IPS |
|
|
Style Transfer (HP)
|
100% |
420297
540.3 IPS |
|
|
Style Transfer (Q)
|
98% |
138945
179.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27527
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44209
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22072
817.3 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1338
25.1 IPS |
