Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
12585
Single Precision Score
12580
Half Precision Score
28900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | caywoodd |
| Upload Date | October 08 2024 04:38 AM |
| Views | 5 |
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% |
7015
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
6957
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
14939
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7963
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8014
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17541
284.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24038
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23653
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
93935
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
8408
666.9 IPS |
|
|
Object Detection (HP)
|
100% |
8292
657.8 IPS |
|
|
Object Detection (Q)
|
88% |
17892
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
18117
215.3 IPS |
|
|
Face Detection (HP)
|
100% |
18287
217.3 IPS |
|
|
Face Detection (Q)
|
100% |
48329
574.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21559
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21641
166.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
59162
460.3 IPS |
|
|
Style Transfer (SP)
|
100% |
52544
67.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51660
66.4 IPS |
|
|
Style Transfer (Q)
|
98% |
223716
288.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12637
466.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12906
476.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35983
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4718
6.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5599
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
7375
127.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7295
125.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7162
123.4 IPS |
