Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
14048
Single Precision Score
14034
Half Precision Score
31691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TobbeOCking |
| Upload Date | March 16 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8918
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
8797
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
18093
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9186
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9153
148.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21726
352.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17697
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17729
20.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
69882
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
9088
720.8 IPS |
|
|
Object Detection (HP)
|
100% |
9074
719.8 IPS |
|
|
Object Detection (Q)
|
88% |
20779
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
27787
330.2 IPS |
|
|
Face Detection (HP)
|
100% |
27911
331.6 IPS |
|
|
Face Detection (Q)
|
100% |
51354
610.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23568
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23646
182.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
61116
475.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50261
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50339
64.7 IPS |
|
|
Style Transfer (Q)
|
98% |
174394
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10980
405.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10896
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32548
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6758
9.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6782
9.05 KIPS |
|
|
Text Classification (Q)
|
92% |
9334
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
9304
160.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9322
160.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10766
185.4 IPS |
