Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
9264
Single Precision Score
9310
Half Precision Score
21020
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | December 16 2024 10:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 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 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4952
920.9 IPS |
|
|
Image Classification (HP)
|
100% |
5040
937.3 IPS |
|
|
Image Classification (Q)
|
100% |
10986
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6770
109.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6856
111.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17300
280.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15963
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16046
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
62387
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
5745
455.7 IPS |
|
|
Object Detection (HP)
|
100% |
5552
440.4 IPS |
|
|
Object Detection (Q)
|
88% |
12708
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
13379
159.0 IPS |
|
|
Face Detection (HP)
|
100% |
14132
167.9 IPS |
|
|
Face Detection (Q)
|
100% |
33683
400.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17247
132.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16420
126.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
41463
322.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40645
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40875
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
144240
186.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8244
304.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8337
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23659
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
4395
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5336
91.9 IPS |
