Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
12682
Single Precision Score
12567
Half Precision Score
30231
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 08:13 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% |
7853
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7939
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
17711
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8727
141.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21311
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15579
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15667
18.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
61900
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
8024
636.5 IPS |
|
|
Object Detection (HP)
|
100% |
8097
642.2 IPS |
|
|
Object Detection (Q)
|
88% |
20355
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
24852
295.3 IPS |
|
|
Face Detection (HP)
|
100% |
25231
299.8 IPS |
|
|
Face Detection (Q)
|
100% |
49810
591.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21113
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21331
164.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
57918
450.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45163
58.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44734
57.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158358
204.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9861
364.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9782
361.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31889
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6066
8.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.17 KIPS |
|
|
Text Classification (Q)
|
92% |
8742
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
8890
153.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8843
152.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10530
181.4 IPS |
