Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
47084
Single Precision Score
69661
Half Precision Score
35029
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 14 2025 10:47 AM |
| Views | 10 |
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% |
17261
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22543
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
14940
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30314
491.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37572
609.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29228
475.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
399746
466.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
922191
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313659
367.4 IPS |
|
|
Object Detection (SP)
|
100% |
24748
1.96 KIPS |
|
|
Object Detection (HP)
|
100% |
32347
2.57 KIPS |
|
|
Object Detection (Q)
|
85% |
20418
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
68799
817.5 IPS |
|
|
Face Detection (HP)
|
100% |
89931
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
55751
664.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
111555
859.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
196971
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79666
638.1 IPS |
|
|
Style Transfer (SP)
|
100% |
634636
815.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1760828
2.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
535515
690.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77789
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102452
3.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55214
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4271
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5248
7.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2513
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6351
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3014
56.5 IPS |
