Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
12733
Single Precision Score
12744
Half Precision Score
30208
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 08:15 AM |
| Views | 8 |
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% |
7894
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7968
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
18087
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8732
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8743
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21507
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15366
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15535
18.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
62132
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
8064
639.6 IPS |
|
|
Object Detection (HP)
|
100% |
8004
634.9 IPS |
|
|
Object Detection (Q)
|
88% |
20390
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
25339
301.1 IPS |
|
|
Face Detection (HP)
|
100% |
25206
299.5 IPS |
|
|
Face Detection (Q)
|
100% |
50203
596.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21135
162.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21096
162.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
57880
450.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45248
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44995
57.8 IPS |
|
|
Style Transfer (Q)
|
98% |
159033
205.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9843
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9832
363.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32107
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6116
8.16 KIPS |
|
|
Text Classification (HP)
|
100% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
8156
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
8991
154.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9053
155.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10613
182.8 IPS |
