Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
1965
Single Precision Score
2172
Half Precision Score
1610
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
679
126.2 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.1 IPS |
|
|
Image Classification (Q)
|
100% |
677
125.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
10885
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5478
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.7 IPS |
|
|
Object Detection (Q)
|
87% |
693
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
2040
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3815
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4543
35.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3337
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11335
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16433
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9974
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2131
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.6 IPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
506
678.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
70% |
619
11.6 IPS |
