Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
36314
Single Precision Score
41858
Half Precision Score
27847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 10 2025 05:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13889
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
14935
2.78 KIPS |
|
|
Image Classification (Q)
|
99% |
12043
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26988
437.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23988
388.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24361
396.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
262615
306.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
484981
565.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
235825
276.2 IPS |
|
|
Object Detection (SP)
|
100% |
18793
1.49 KIPS |
|
|
Object Detection (HP)
|
99% |
19942
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
17091
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
50840
604.1 IPS |
|
|
Face Detection (HP)
|
100% |
57239
680.1 IPS |
|
|
Face Detection (Q)
|
97% |
44422
529.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
80187
617.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
90011
693.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
65095
521.7 IPS |
|
|
Style Transfer (SP)
|
100% |
449590
578.0 IPS |
|
|
Style Transfer (HP)
|
100% |
696568
895.4 IPS |
|
|
Style Transfer (Q)
|
98% |
393944
508.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49971
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67478
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40655
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6402
110.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2947
55.3 IPS |
