Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
47589
Single Precision Score
70107
Half Precision Score
35273
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 10 2025 03:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17721
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
22527
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
15183
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30621
496.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37596
609.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29482
479.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
397387
463.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
919017
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316557
370.8 IPS |
|
|
Object Detection (SP)
|
100% |
25289
2.01 KIPS |
|
|
Object Detection (HP)
|
100% |
33063
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
20791
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
69359
824.1 IPS |
|
|
Face Detection (HP)
|
100% |
90944
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
56485
673.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
112414
866.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
197881
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80378
643.8 IPS |
|
|
Style Transfer (SP)
|
100% |
638506
820.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1756971
2.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
535327
690.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78426
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103674
3.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55502
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4323
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2516
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6473
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6495
111.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2982
55.9 IPS |
