Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
8017
Single Precision Score
7999
Half Precision Score
19475
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 03:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | High performance |
| 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% |
4850
901.9 IPS |
|
|
Image Classification (HP)
|
100% |
4870
905.7 IPS |
|
|
Image Classification (Q)
|
100% |
12071
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5507
89.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5426
88.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13103
212.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8873
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
34988
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4920
390.3 IPS |
|
|
Object Detection (HP)
|
100% |
4931
391.1 IPS |
|
|
Object Detection (Q)
|
88% |
13333
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
15982
189.9 IPS |
|
|
Face Detection (HP)
|
100% |
15835
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
33573
398.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12436
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12347
95.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35408
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25065
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24969
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85705
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17601
651.9 IPS |
|
|
Text Classification (SP)
|
100% |
4313
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5967
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
7888
135.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7826
134.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9942
171.2 IPS |
