Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
2854
Single Precision Score
1469
Half Precision Score
7326
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 10:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR WIFI (MS-7D76) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2392
444.9 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (Q)
|
99% |
6343
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7154
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3903
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
15089
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
6814
547.7 IPS |
|
|
Face Detection (SP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
9611
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4853
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12194
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8656
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8327
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21017
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5343
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1741
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4167
83.7 IPS |
