Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
13143
Single Precision Score
12911
Half Precision Score
28806
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | caywoodd |
| Upload Date | October 08 2024 04:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7034
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
6850
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14999
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8518
138.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8762
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17469
283.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23824
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23725
27.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
93665
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
8174
648.4 IPS |
|
|
Object Detection (HP)
|
100% |
8069
640.0 IPS |
|
|
Object Detection (Q)
|
88% |
18056
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
22216
264.0 IPS |
|
|
Face Detection (HP)
|
100% |
17699
210.3 IPS |
|
|
Face Detection (Q)
|
100% |
47943
569.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21588
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21531
165.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
57852
450.1 IPS |
|
|
Style Transfer (SP)
|
100% |
63721
81.9 IPS |
|
|
Style Transfer (HP)
|
100% |
64076
82.4 IPS |
|
|
Style Transfer (Q)
|
98% |
224039
288.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12537
463.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12537
462.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36061
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
7401
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7485
128.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7075
121.9 IPS |
