Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14948
Single Precision Score
15260
Half Precision Score
36392
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | June 06 2025 11:40 PM |
| Views | 10 |
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 16-Core Processor |
| 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% |
7524
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7368
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
19733
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10657
172.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26655
432.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31842
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31368
36.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
131812
154.3 IPS |
|
|
Object Detection (SP)
|
100% |
8640
685.3 IPS |
|
|
Object Detection (HP)
|
100% |
9174
727.7 IPS |
|
|
Object Detection (Q)
|
88% |
20353
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19010
225.9 IPS |
|
|
Face Detection (HP)
|
100% |
18779
223.1 IPS |
|
|
Face Detection (Q)
|
100% |
55923
664.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24713
190.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25739
198.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
73670
573.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82931
106.6 IPS |
|
|
Style Transfer (HP)
|
100% |
83294
107.1 IPS |
|
|
Style Transfer (Q)
|
98% |
298558
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15393
568.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16065
593.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41727
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5075
6.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5763
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
8867
152.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9104
156.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9763
168.2 IPS |
