Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
24003
Single Precision Score
36895
Half Precision Score
14629
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 05:21 PM |
| Views | 17 |
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. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9439
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
13215
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
6441
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17494
283.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25471
412.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12427
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
134436
156.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
388078
452.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104704
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
12153
964.0 IPS |
|
|
Object Detection (HP)
|
100% |
17507
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
8289
666.8 IPS |
|
|
Face Detection (SP)
|
100% |
32150
382.0 IPS |
|
|
Face Detection (HP)
|
100% |
46956
557.9 IPS |
|
|
Face Detection (Q)
|
97% |
21844
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
61746
475.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103512
797.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36822
295.0 IPS |
|
|
Style Transfer (SP)
|
100% |
246005
316.2 IPS |
|
|
Style Transfer (HP)
|
100% |
582447
748.7 IPS |
|
|
Style Transfer (Q)
|
98% |
179180
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36245
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44933
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19892
736.6 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4904
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1625
30.5 IPS |
