Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
15082
Single Precision Score
14823
Half Precision Score
36344
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | August 17 2025 09:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 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 9950X |
| 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% |
7858
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7071
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
19054
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9772
158.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9504
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27213
441.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32670
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32379
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
127037
148.7 IPS |
|
|
Object Detection (SP)
|
100% |
8675
688.1 IPS |
|
|
Object Detection (HP)
|
100% |
8638
685.1 IPS |
|
|
Object Detection (Q)
|
88% |
21876
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
17638
209.6 IPS |
|
|
Face Detection (HP)
|
100% |
17133
203.6 IPS |
|
|
Face Detection (Q)
|
100% |
56767
674.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24998
192.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24376
187.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
71525
556.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84681
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
84755
109.0 IPS |
|
|
Style Transfer (Q)
|
98% |
303773
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15896
586.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15809
583.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40219
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (Q)
|
92% |
5873
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
9094
156.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9284
159.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9579
165.0 IPS |
