Micro-Star International Co., Ltd. MS-7E57
Geekbench AI Score
7166
Single Precision Score
2855
Half Precision Score
9610
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | June 12 2025 09:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E57 |
| Motherboard | Micro-Star International Co., Ltd. B840 GAMING PLUS WIFI (MS-7E57) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6726
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
1012
188.2 IPS |
|
|
Image Classification (Q)
|
99% |
13083
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3642
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12624
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9324
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
44979
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (Q)
|
86% |
8686
698.1 IPS |
|
|
Face Detection (SP)
|
100% |
9602
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
13661
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17650
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4100
31.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
28715
229.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27897
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21070
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38017
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6748
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
646
865.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5555
111.6 IPS |
