Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
50285
Single Precision Score
75608
Half Precision Score
36438
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | May 22 2025 07:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| 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% |
18007
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
23681
4.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15457
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39923
647.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
52102
844.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
36306
590.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
407641
475.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
972593
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326726
382.7 IPS |
|
|
Object Detection (SP)
|
100% |
25444
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
32689
2.59 KIPS |
|
|
Object Detection (Q)
|
85% |
21081
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
79081
939.7 IPS |
|
|
Face Detection (HP)
|
100% |
108183
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
61128
728.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
109361
842.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
199005
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76346
611.5 IPS |
|
|
Style Transfer (SP)
|
100% |
619395
796.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1757090
2.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
513047
661.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78244
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101423
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55318
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4254
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7776
133.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7779
134.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3240
60.8 IPS |
