Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
11900
Single Precision Score
12058
Half Precision Score
27467
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 25 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6602
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6605
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
13397
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7441
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7860
127.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19522
316.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22902
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23089
26.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
91580
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
7558
599.5 IPS |
|
|
Object Detection (HP)
|
100% |
7383
585.6 IPS |
|
|
Object Detection (Q)
|
88% |
16192
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
15680
186.3 IPS |
|
|
Face Detection (HP)
|
100% |
16591
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
44107
524.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19359
149.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19453
149.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
53040
412.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61418
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
61945
79.6 IPS |
|
|
Style Transfer (Q)
|
98% |
216794
279.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12211
450.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12243
452.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33020
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4405
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4443
5.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5772
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6680
115.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6755
116.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6521
112.3 IPS |
