Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
7499
Single Precision Score
7500
Half Precision Score
20435
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4966
923.5 IPS |
|
|
Image Classification (HP)
|
100% |
4965
923.4 IPS |
|
|
Image Classification (Q)
|
100% |
13092
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5394
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5302
85.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14508
235.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8890
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8980
10.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
35340
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4540
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
4466
354.2 IPS |
|
|
Object Detection (Q)
|
88% |
13272
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
10581
125.7 IPS |
|
|
Face Detection (HP)
|
100% |
10612
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
34150
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11099
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11122
85.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
35730
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24303
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24376
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93236
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18317
678.4 IPS |
|
|
Text Classification (SP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4424
5.91 KIPS |
|
|
Text Classification (Q)
|
92% |
6567
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
7394
127.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7400
127.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10419
179.5 IPS |
