Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
12567
Single Precision Score
12679
Half Precision Score
30109
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 08:25 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% |
7951
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7883
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
17926
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8754
141.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8669
140.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21078
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14876
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15411
18.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
60456
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
8019
636.1 IPS |
|
|
Object Detection (HP)
|
100% |
7943
630.0 IPS |
|
|
Object Detection (Q)
|
88% |
20551
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
25281
300.4 IPS |
|
|
Face Detection (HP)
|
100% |
25427
302.1 IPS |
|
|
Face Detection (Q)
|
100% |
50015
594.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20661
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21178
163.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
57285
445.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43366
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45094
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
158193
204.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9759
360.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9807
362.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31822
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6062
8.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6053
8.08 KIPS |
|
|
Text Classification (Q)
|
92% |
8759
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
8837
152.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8908
153.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10326
177.9 IPS |
