Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
11118
Single Precision Score
11226
Half Precision Score
30596
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BestNoob |
| Upload Date | December 21 2025 12:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores |
| 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% |
7950
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7755
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
19325
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7989
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8060
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22322
361.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14705
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
58549
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
6793
538.8 IPS |
|
|
Object Detection (HP)
|
100% |
6444
511.2 IPS |
|
|
Object Detection (Q)
|
88% |
20494
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
13805
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
14059
167.1 IPS |
|
|
Face Detection (Q)
|
100% |
51847
616.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16096
124.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17307
133.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
55053
428.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38557
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39010
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
152715
196.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8703
321.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8982
331.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28613
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
6311
8.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6212
8.29 KIPS |
|
|
Text Classification (Q)
|
92% |
8746
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
10072
173.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10139
174.6 IPS |
|
|
Machine Translation (Q)
|
100% |
12735
219.4 IPS |
