Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
2001
Single Precision Score
2171
Half Precision Score
1641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kana |
| Upload Date | April 26 2025 08:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
10982
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6029
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
87% |
700
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2227
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
2074
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3833
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4553
35.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3359
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11406
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16525
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10047
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2144
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
728
972.0 IPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
508
680.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
70% |
635
11.9 IPS |
