Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
14066
Single Precision Score
14061
Half Precision Score
31866
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TobbeOCking |
| Upload Date | March 16 2025 04:30 PM |
| Views | 3 |
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% |
8889
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
8845
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
18642
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9307
150.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9200
149.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21864
354.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17741
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17765
20.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
69947
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
9013
714.9 IPS |
|
|
Object Detection (HP)
|
100% |
9077
720.0 IPS |
|
|
Object Detection (Q)
|
88% |
20930
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
27867
331.1 IPS |
|
|
Face Detection (HP)
|
100% |
27943
332.0 IPS |
|
|
Face Detection (Q)
|
100% |
51558
612.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23620
182.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23719
182.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
61331
477.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50319
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50008
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177392
228.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10932
403.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10930
403.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32551
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6784
9.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6796
9.07 KIPS |
|
|
Text Classification (Q)
|
92% |
9360
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
9331
160.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9357
161.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10588
182.4 IPS |
