Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
6756
Single Precision Score
2640
Half Precision Score
11167
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4623
859.8 IPS |
|
|
Image Classification (HP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (Q)
|
99% |
10325
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4839
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21889
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14572
17.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
63484
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
5094
404.0 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
11734
943.0 IPS |
|
|
Face Detection (SP)
|
100% |
8502
101.0 IPS |
|
|
Face Detection (HP)
|
100% |
2438
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
13763
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17709
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3927
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26729
213.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40317
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30473
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43347
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5467
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4642
93.3 IPS |
