Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
7512
Single Precision Score
7514
Half Precision Score
18055
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2024 03:10 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4739
881.3 IPS |
|
|
Image Classification (HP)
|
100% |
4705
874.9 IPS |
|
|
Image Classification (Q)
|
100% |
10686
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5163
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5185
84.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12758
206.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8486
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
8474
9.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
33940
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
4640
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
4648
368.7 IPS |
|
|
Object Detection (Q)
|
88% |
11359
910.6 IPS |
|
|
Face Detection (SP)
|
100% |
15031
178.6 IPS |
|
|
Face Detection (HP)
|
100% |
15045
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
30685
364.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11989
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12015
92.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33602
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24136
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23961
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
85777
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5329
196.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16921
626.6 IPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6296
108.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7695
132.6 IPS |
