Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
14741
Single Precision Score
14596
Half Precision Score
33463
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 09:09 AM |
| Views | 1 |
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 | 5.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9225
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9219
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
19636
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9418
152.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9377
152.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22458
364.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18455
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18446
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
72516
84.9 IPS |
|
|
Object Detection (SP)
|
100% |
9521
755.2 IPS |
|
|
Object Detection (HP)
|
100% |
9493
753.0 IPS |
|
|
Object Detection (Q)
|
88% |
22169
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
28706
341.1 IPS |
|
|
Face Detection (HP)
|
100% |
26335
312.9 IPS |
|
|
Face Detection (Q)
|
100% |
53662
637.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24960
192.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24986
192.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
65049
506.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52468
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52386
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
184131
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11566
427.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11540
426.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33891
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
7326
9.78 KIPS |
|
|
Text Classification (HP)
|
100% |
7307
9.75 KIPS |
|
|
Text Classification (Q)
|
92% |
10067
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
9968
171.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9981
171.9 IPS |
|
|
Machine Translation (Q)
|
100% |
11328
195.1 IPS |
