Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
15330
Single Precision Score
15237
Half Precision Score
36353
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | May 26 2025 01:33 PM |
| Views | 8 |
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% |
7959
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7615
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19532
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10790
174.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10453
169.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27041
438.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32724
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32868
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
132456
155.1 IPS |
|
|
Object Detection (SP)
|
100% |
9318
739.1 IPS |
|
|
Object Detection (HP)
|
100% |
8677
688.2 IPS |
|
|
Object Detection (Q)
|
88% |
21461
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
19019
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
19101
227.0 IPS |
|
|
Face Detection (Q)
|
100% |
52495
623.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24118
185.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24712
190.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
71227
554.4 IPS |
|
|
Style Transfer (SP)
|
100% |
84272
108.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86162
110.8 IPS |
|
|
Style Transfer (Q)
|
98% |
302256
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15751
581.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15714
580.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40498
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5085
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
8988
154.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9147
157.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9653
166.3 IPS |
