Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
2896
Single Precision Score
1390
Half Precision Score
6648
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | March 28 2025 09:28 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1805
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
99% |
5572
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3311
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3110
3.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
16698
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
6307
506.9 IPS |
|
|
Face Detection (SP)
|
100% |
5048
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
8501
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13425
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9659
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7741
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
27738
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3703
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4170
83.8 IPS |
