Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
50694
Single Precision Score
76796
Half Precision Score
36679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | June 05 2025 10:16 PM |
| Views | 4 |
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% |
18024
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
24062
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15459
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40386
654.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
52797
855.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36854
599.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
407750
475.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
971689
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325875
381.7 IPS |
|
|
Object Detection (SP)
|
100% |
25764
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
34122
2.71 KIPS |
|
|
Object Detection (Q)
|
85% |
21229
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
78977
938.4 IPS |
|
|
Face Detection (HP)
|
100% |
108535
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
61757
736.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
109478
843.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
198326
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77075
617.3 IPS |
|
|
Style Transfer (SP)
|
100% |
621727
799.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1818498
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
517080
666.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79475
2.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104251
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56138
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2492
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7800
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7813
134.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3248
60.9 IPS |
