Micro-Star International Co., Ltd. MS-7E27
Geekbench AI Score
13050
Single Precision Score
13188
Half Precision Score
34520
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 26 2025 07:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| 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% |
8934
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
8917
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
21539
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9261
150.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9181
148.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23588
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17085
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17212
20.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
70639
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
8010
635.3 IPS |
|
|
Object Detection (HP)
|
100% |
8121
644.2 IPS |
|
|
Object Detection (Q)
|
88% |
22163
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
16483
195.9 IPS |
|
|
Face Detection (HP)
|
100% |
16228
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
55044
654.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19327
148.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19261
148.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
62161
483.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47030
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48043
61.8 IPS |
|
|
Style Transfer (Q)
|
98% |
176582
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10906
402.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11061
408.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33992
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
6747
9.01 KIPS |
|
|
Text Classification (HP)
|
100% |
7053
9.41 KIPS |
|
|
Text Classification (Q)
|
92% |
9627
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11485
197.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11872
204.5 IPS |
|
|
Machine Translation (Q)
|
100% |
15280
263.2 IPS |
