Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14473
Single Precision Score
14326
Half Precision Score
30956
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MrFox |
| Upload Date | December 10 2024 07:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | Bitsum Highest Performance |
| 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 | 5.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7121
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7343
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
14779
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8873
143.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8620
139.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18072
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33719
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33504
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
133713
156.5 IPS |
|
|
Object Detection (SP)
|
100% |
8655
686.5 IPS |
|
|
Object Detection (HP)
|
100% |
8274
656.3 IPS |
|
|
Object Detection (Q)
|
88% |
18359
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
18686
222.0 IPS |
|
|
Face Detection (HP)
|
100% |
18917
224.8 IPS |
|
|
Face Detection (Q)
|
100% |
45106
536.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24855
191.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
24311
187.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
65714
520.8 IPS |
|
|
Style Transfer (SP)
|
100% |
86369
111.0 IPS |
|
|
Style Transfer (HP)
|
100% |
85629
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
298915
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15169
560.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14965
552.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37879
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
5143
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5068
6.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5738
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6989
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6950
119.7 IPS |
|
|
Machine Translation (Q)
|
85% |
6401
111.9 IPS |
