Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
8302
Single Precision Score
8318
Half Precision Score
22460
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | PBL |
| Upload Date | April 16 2025 08:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.57 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5404
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5386
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14616
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5904
95.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15457
250.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9313
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9315
10.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
37072
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
4963
393.7 IPS |
|
|
Object Detection (HP)
|
100% |
4995
396.2 IPS |
|
|
Object Detection (Q)
|
88% |
14909
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
12831
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
12892
153.2 IPS |
|
|
Face Detection (Q)
|
100% |
36690
436.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12198
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12218
94.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
40041
311.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26119
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26215
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98658
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19718
730.2 IPS |
|
|
Text Classification (SP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
7318
9.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
8917
153.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8973
154.6 IPS |
|
|
Machine Translation (Q)
|
100% |
12509
215.5 IPS |
