Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
22055
Single Precision Score
39602
Half Precision Score
17474
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 12:17 AM |
| Views | 3 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9140
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
15475
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8431
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15588
252.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22130
358.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14366
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
125360
146.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
394586
460.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
116388
136.3 IPS |
|
|
Object Detection (SP)
|
100% |
11482
910.8 IPS |
|
|
Object Detection (HP)
|
100% |
19851
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9950
803.9 IPS |
|
|
Face Detection (SP)
|
100% |
29361
348.9 IPS |
|
|
Face Detection (HP)
|
100% |
47398
563.2 IPS |
|
|
Face Detection (Q)
|
97% |
25757
307.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54808
422.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
115129
887.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44890
358.3 IPS |
|
|
Style Transfer (SP)
|
100% |
174866
224.8 IPS |
|
|
Style Transfer (HP)
|
100% |
590790
759.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149572
192.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33412
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60101
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25889
958.6 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2131
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1984
37.2 IPS |
