Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13538
Single Precision Score
13468
Half Precision Score
32871
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kryptonite5 |
| Upload Date | April 08 2025 04:40 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 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Ultimate 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7520
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7274
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
17415
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8679
140.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8669
140.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24847
402.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25602
29.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25467
29.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
100471
117.6 IPS |
|
|
Object Detection (SP)
|
100% |
8771
695.7 IPS |
|
|
Object Detection (HP)
|
100% |
8265
655.6 IPS |
|
|
Object Detection (Q)
|
88% |
20421
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
17520
208.2 IPS |
|
|
Face Detection (HP)
|
100% |
18568
220.6 IPS |
|
|
Face Detection (Q)
|
100% |
49655
590.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22839
176.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22117
170.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
63972
497.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66707
85.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66913
86.0 IPS |
|
|
Style Transfer (Q)
|
98% |
239614
309.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13108
484.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13161
486.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35727
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4640
6.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6004
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
8693
149.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8685
149.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10161
175.0 IPS |
