Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13520
Single Precision Score
13407
Half Precision Score
33069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kryptonite5 |
| Upload Date | May 17 2025 10:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7522
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
6991
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17709
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8749
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8714
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25439
412.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25492
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25475
29.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
101249
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
8481
672.7 IPS |
|
|
Object Detection (HP)
|
100% |
8221
652.1 IPS |
|
|
Object Detection (Q)
|
88% |
19864
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
17316
205.8 IPS |
|
|
Face Detection (HP)
|
100% |
17665
209.9 IPS |
|
|
Face Detection (Q)
|
100% |
53456
635.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22071
170.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22419
172.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
62482
486.3 IPS |
|
|
Style Transfer (SP)
|
100% |
67179
86.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67184
86.4 IPS |
|
|
Style Transfer (Q)
|
98% |
239596
309.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13053
482.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12891
476.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35271
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4719
6.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5777
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
9071
156.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9021
155.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10588
182.4 IPS |
