Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
4352
Single Precision Score
1744
Half Precision Score
8466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3612
671.7 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
8286
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4998
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
25181
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
8736
702.1 IPS |
|
|
Face Detection (SP)
|
100% |
8629
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
10893
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19464
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15305
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12084
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32281
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2791
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1890
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4787
96.2 IPS |
