Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14140
Single Precision Score
14161
Half Precision Score
33497
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mrmescu |
| Upload Date | April 21 2026 05:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
6689
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7571
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
17262
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9795
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9421
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24686
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31529
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29631
34.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
121128
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
8068
640.0 IPS |
|
|
Object Detection (HP)
|
100% |
8315
659.5 IPS |
|
|
Object Detection (Q)
|
88% |
18919
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
19679
233.8 IPS |
|
|
Face Detection (HP)
|
100% |
18426
218.9 IPS |
|
|
Face Detection (Q)
|
100% |
52222
620.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24386
187.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24276
187.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
63893
497.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76250
98.0 IPS |
|
|
Style Transfer (HP)
|
100% |
78718
101.2 IPS |
|
|
Style Transfer (Q)
|
98% |
279402
360.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14498
535.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14593
538.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38080
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4370
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4378
5.84 KIPS |
|
|
Text Classification (Q)
|
92% |
6001
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
8275
142.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8206
141.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8550
147.3 IPS |
