Micro-Star International Co., Ltd. MS-7D50
Geekbench AI Score
26201
Single Precision Score
39519
Half Precision Score
15732
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 04:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D50 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570S ACE MAX (MS-7D50) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9752
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
14080
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
6645
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18822
305.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27007
437.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13115
213.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
182449
212.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
380849
444.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
136394
159.8 IPS |
|
|
Object Detection (SP)
|
100% |
13182
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
18690
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
8787
706.8 IPS |
|
|
Face Detection (SP)
|
100% |
35617
423.2 IPS |
|
|
Face Detection (HP)
|
100% |
51088
607.0 IPS |
|
|
Face Detection (Q)
|
97% |
23121
275.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
66459
512.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
114604
883.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
38877
311.3 IPS |
|
|
Style Transfer (SP)
|
100% |
278377
357.9 IPS |
|
|
Style Transfer (HP)
|
100% |
659549
847.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199588
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38645
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54321
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22044
816.3 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1381
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1628
30.5 IPS |
