Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
9333
Single Precision Score
9225
Half Precision Score
22278
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MrFox |
| Upload Date | December 10 2024 07:04 AM |
| Views | 2 |
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% |
5485
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5078
944.3 IPS |
|
|
Image Classification (Q)
|
100% |
12266
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6519
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6453
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14472
234.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12752
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12876
15.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
51722
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
5577
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
5257
417.0 IPS |
|
|
Object Detection (Q)
|
88% |
15096
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
14939
177.5 IPS |
|
|
Face Detection (HP)
|
100% |
14854
176.5 IPS |
|
|
Face Detection (Q)
|
100% |
36376
432.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14167
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14985
115.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
40126
312.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34171
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37202
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
141043
181.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7791
287.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7988
295.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20081
743.7 IPS |
|
|
Text Classification (SP)
|
100% |
4854
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4192
5.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
7217
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7259
125.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8889
153.1 IPS |
