Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
12583
Single Precision Score
12716
Half Precision Score
30465
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 08:23 AM |
| 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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Alto rendimiento |
| 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 | 5.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7878
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7970
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
18140
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8601
139.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8696
141.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21569
349.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15470
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15354
17.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
62256
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
8049
638.4 IPS |
|
|
Object Detection (HP)
|
100% |
8031
637.1 IPS |
|
|
Object Detection (Q)
|
88% |
20632
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
25778
306.3 IPS |
|
|
Face Detection (HP)
|
100% |
25443
302.3 IPS |
|
|
Face Detection (Q)
|
100% |
50358
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21284
164.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20854
160.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
58071
451.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45369
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45360
58.3 IPS |
|
|
Style Transfer (Q)
|
98% |
158204
204.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9813
362.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9884
365.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32355
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6104
8.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
92% |
8823
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
7912
136.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8968
154.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10377
178.7 IPS |
