Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
46311
Single Precision Score
68611
Half Precision Score
34628
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 08 2025 11:37 AM |
| Views | 13 |
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% |
17256
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22303
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
14829
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29988
486.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37162
602.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29143
473.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
397085
463.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
922827
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
307206
359.8 IPS |
|
|
Object Detection (SP)
|
100% |
24283
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31913
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
20088
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
67627
803.6 IPS |
|
|
Face Detection (HP)
|
100% |
89201
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
55478
661.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
110714
853.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
193340
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79076
633.4 IPS |
|
|
Style Transfer (SP)
|
100% |
617532
793.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1727858
2.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
524441
676.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75124
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101331
3.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54452
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4162
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2495
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6292
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6347
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2974
55.8 IPS |
