Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
8259
Single Precision Score
2875
Half Precision Score
14031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | May 22 2025 07:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
5652
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
13932
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5605
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26377
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16176
18.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
87206
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
5882
466.6 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
86% |
16805
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
10973
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
16708
199.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20400
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4412
34.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
32211
257.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46028
59.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37675
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
55594
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6604
244.5 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2042
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6406
128.7 IPS |
