Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
36003
Single Precision Score
41199
Half Precision Score
27379
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 14 2025 01:43 AM |
| Views | 16 |
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 | Ultimate Performance |
| 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% |
13106
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
14785
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
10995
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27119
439.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23911
387.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24415
397.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
262828
306.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
484045
564.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
238265
279.1 IPS |
|
|
Object Detection (SP)
|
100% |
19373
1.54 KIPS |
|
|
Object Detection (HP)
|
99% |
17247
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
16819
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
51747
614.9 IPS |
|
|
Face Detection (HP)
|
100% |
55979
665.1 IPS |
|
|
Face Detection (Q)
|
97% |
44396
529.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80722
621.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89369
688.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
65827
527.5 IPS |
|
|
Style Transfer (SP)
|
100% |
445859
573.2 IPS |
|
|
Style Transfer (HP)
|
100% |
705129
906.5 IPS |
|
|
Style Transfer (Q)
|
98% |
395006
509.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51518
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67801
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41108
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1732
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5349
92.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2677
50.2 IPS |
