Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
37617
Single Precision Score
43293
Half Precision Score
29466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 14 2025 02:48 AM |
| Views | 10 |
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% |
16343
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
18168
3.38 KIPS |
|
|
Image Classification (Q)
|
99% |
14442
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27141
440.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23752
385.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24601
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
243884
284.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
361357
421.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
213709
250.3 IPS |
|
|
Object Detection (SP)
|
100% |
19240
1.53 KIPS |
|
|
Object Detection (HP)
|
99% |
20904
1.66 KIPS |
|
|
Object Detection (Q)
|
87% |
16256
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
53178
631.9 IPS |
|
|
Face Detection (HP)
|
100% |
62780
746.0 IPS |
|
|
Face Detection (Q)
|
97% |
46244
551.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
77018
593.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94163
725.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
62189
498.4 IPS |
|
|
Style Transfer (SP)
|
100% |
410022
527.1 IPS |
|
|
Style Transfer (HP)
|
100% |
608680
782.5 IPS |
|
|
Style Transfer (Q)
|
98% |
361776
466.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49716
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61189
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39464
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4814
6.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
3005
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6783
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6828
117.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3240
60.8 IPS |
