Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
4374
Single Precision Score
4350
Half Precision Score
12505
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | March 28 2025 09:30 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3085
573.7 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.7 IPS |
|
|
Image Classification (Q)
|
100% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8487
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
17755
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (Q)
|
88% |
7738
620.3 IPS |
|
|
Face Detection (SP)
|
100% |
8018
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
23601
280.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7683
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6285
48.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
23165
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12163
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13468
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46921
60.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3287
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3287
121.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12542
464.5 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
5014
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6269
108.0 IPS |
