Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14097
Single Precision Score
14097
Half Precision Score
33731
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6579
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7146
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
17024
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9264
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9410
152.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25755
417.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30524
35.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30223
35.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
121728
142.5 IPS |
|
|
Object Detection (SP)
|
100% |
8653
686.3 IPS |
|
|
Object Detection (HP)
|
100% |
8204
650.7 IPS |
|
|
Object Detection (Q)
|
88% |
19645
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
18577
220.7 IPS |
|
|
Face Detection (HP)
|
100% |
17013
202.2 IPS |
|
|
Face Detection (Q)
|
100% |
49102
583.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24659
190.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24543
189.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67925
528.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78283
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
79017
101.6 IPS |
|
|
Style Transfer (Q)
|
98% |
279136
359.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14403
531.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14195
524.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37737
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4669
6.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5760
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
8215
141.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8506
146.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8988
154.8 IPS |
