Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
18229
Single Precision Score
30362
Half Precision Score
12030
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:27 PM |
| Views | 12 |
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% |
7446
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
11988
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
5484
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12731
206.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10009
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
98411
114.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
270984
316.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79365
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
9115
723.0 IPS |
|
|
Object Detection (HP)
|
100% |
15342
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
6846
551.1 IPS |
|
|
Face Detection (SP)
|
100% |
21821
259.3 IPS |
|
|
Face Detection (HP)
|
100% |
34732
412.7 IPS |
|
|
Face Detection (Q)
|
97% |
16756
199.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45296
349.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84483
650.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
30132
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
158632
203.9 IPS |
|
|
Style Transfer (HP)
|
100% |
388681
499.7 IPS |
|
|
Style Transfer (Q)
|
98% |
124530
160.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28626
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40730
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17036
630.8 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3285
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1280
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1553
29.1 IPS |
