Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
3544
Single Precision Score
1620
Half Precision Score
6503
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 02:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
99% |
8149
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2727
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4754
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4419
5.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
21915
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (Q)
|
86% |
6293
505.7 IPS |
|
|
Face Detection (SP)
|
100% |
10037
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9941
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6118
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2315
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17273
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11523
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10412
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32141
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4286
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
687
916.8 IPS |
|
|
Text Classification (Q)
|
97% |
459
614.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4066
81.7 IPS |
