Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
13158
Single Precision Score
12934
Half Precision Score
29243
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 06:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Performances leves |
| 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% |
7185
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
6972
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
14903
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8710
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7936
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17424
282.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25086
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25301
29.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
99275
116.2 IPS |
|
|
Object Detection (SP)
|
100% |
7750
614.7 IPS |
|
|
Object Detection (HP)
|
100% |
8198
650.3 IPS |
|
|
Object Detection (Q)
|
88% |
17367
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
18444
219.2 IPS |
|
|
Face Detection (HP)
|
100% |
17496
207.9 IPS |
|
|
Face Detection (Q)
|
100% |
48870
580.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23532
181.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22189
171.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
59765
465.0 IPS |
|
|
Style Transfer (SP)
|
100% |
65834
84.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67311
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
235380
303.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12427
458.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12494
461.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34917
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6081
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
7373
127.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7206
124.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6999
120.6 IPS |
