Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
9449
Single Precision Score
3188
Half Precision Score
13380
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-P WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7798
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
1102
204.9 IPS |
|
|
Image Classification (Q)
|
99% |
14304
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3800
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5697
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15889
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12352
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
53244
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
7678
609.0 IPS |
|
|
Object Detection (HP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (Q)
|
86% |
14613
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
19297
229.3 IPS |
|
|
Face Detection (HP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
15832
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20145
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4527
34.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
36247
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37651
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26644
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41144
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6908
255.8 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2582
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6887
138.4 IPS |
