Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
5838
Single Precision Score
6160
Half Precision Score
13966
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MrFox |
| Upload Date | December 10 2024 07:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.7 IPS |
|
|
Image Classification (Q)
|
100% |
8358
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8895
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7700
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
7924
9.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
29480
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3552
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
3775
299.4 IPS |
|
|
Object Detection (Q)
|
88% |
7367
590.5 IPS |
|
|
Face Detection (SP)
|
100% |
10526
125.1 IPS |
|
|
Face Detection (HP)
|
100% |
10747
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
24813
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10774
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9917
76.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26160
203.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20181
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20314
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
79647
102.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12037
445.8 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3989
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5448
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5403
93.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7045
121.3 IPS |
