Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
21065
Single Precision Score
32105
Half Precision Score
13332
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Mystline |
| Upload Date | September 18 2025 08:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
8653
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11714
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5974
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14224
230.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19465
315.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10693
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
122931
143.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
366193
427.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
98991
116.0 IPS |
|
|
Object Detection (SP)
|
100% |
10746
852.4 IPS |
|
|
Object Detection (HP)
|
100% |
15462
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
7554
607.7 IPS |
|
|
Face Detection (SP)
|
100% |
28150
334.5 IPS |
|
|
Face Detection (HP)
|
100% |
39316
467.2 IPS |
|
|
Face Detection (Q)
|
97% |
19758
235.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53937
415.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94790
730.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33457
268.0 IPS |
|
|
Style Transfer (SP)
|
100% |
230469
296.3 IPS |
|
|
Style Transfer (HP)
|
100% |
542517
697.4 IPS |
|
|
Style Transfer (Q)
|
98% |
168614
217.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32908
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40159
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18456
683.4 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1417
26.6 IPS |
