Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
35773
Single Precision Score
40672
Half Precision Score
28612
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 03 2025 01:07 PM |
| Views | 4 |
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 16-Core Processor |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16012
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
17649
3.28 KIPS |
|
|
Image Classification (Q)
|
99% |
13463
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26482
429.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23439
380.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24119
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
237817
277.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
353714
412.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
213898
250.6 IPS |
|
|
Object Detection (SP)
|
100% |
18256
1.45 KIPS |
|
|
Object Detection (HP)
|
99% |
20207
1.60 KIPS |
|
|
Object Detection (Q)
|
87% |
15978
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
50864
604.4 IPS |
|
|
Face Detection (HP)
|
100% |
54873
652.0 IPS |
|
|
Face Detection (Q)
|
97% |
44521
530.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
74431
573.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91157
702.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
61375
491.8 IPS |
|
|
Style Transfer (SP)
|
100% |
400494
514.8 IPS |
|
|
Style Transfer (HP)
|
100% |
584039
750.8 IPS |
|
|
Style Transfer (Q)
|
98% |
359566
463.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48014
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55702
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37783
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4214
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2891
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6077
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3088
57.9 IPS |
