Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
18914
Single Precision Score
31141
Half Precision Score
12511
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7704
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
12197
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
5666
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13541
219.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20628
334.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10495
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
102273
119.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
276503
322.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
83189
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
9463
750.6 IPS |
|
|
Object Detection (HP)
|
100% |
15765
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
7066
568.8 IPS |
|
|
Face Detection (SP)
|
100% |
23118
274.7 IPS |
|
|
Face Detection (HP)
|
100% |
35979
427.5 IPS |
|
|
Face Detection (Q)
|
97% |
17758
211.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47109
362.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87325
672.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31398
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
163047
209.6 IPS |
|
|
Style Transfer (HP)
|
100% |
399993
514.2 IPS |
|
|
Style Transfer (Q)
|
98% |
130244
167.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30011
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41581
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17526
649.0 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1601
30.0 IPS |
