Micro-Star International Co., Ltd. MS-7E81
Geekbench AI Score
5650
Single Precision Score
2108
Half Precision Score
10322
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E81 |
| Motherboard | Micro-Star International Co., Ltd. B850M GAMING PLUS WIFI6E (MS-7E81) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4375
813.6 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
9106
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9441
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7250
8.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
32480
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4301
341.1 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
9614
772.6 IPS |
|
|
Face Detection (SP)
|
100% |
11651
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11402
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11376
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2677
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23752
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20615
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15894
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34182
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3105
114.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5668
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5065
101.8 IPS |
