Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13580
Single Precision Score
13581
Half Precision Score
32970
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kryptonite5 |
| Upload Date | May 17 2025 10:30 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 | 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7863
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7354
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18112
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8985
145.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8987
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25107
407.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25499
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25470
29.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
101548
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
8227
652.6 IPS |
|
|
Object Detection (HP)
|
100% |
8202
650.6 IPS |
|
|
Object Detection (Q)
|
88% |
19730
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
17586
209.0 IPS |
|
|
Face Detection (HP)
|
100% |
18328
217.8 IPS |
|
|
Face Detection (Q)
|
100% |
53982
641.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22070
170.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22394
172.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
63445
493.8 IPS |
|
|
Style Transfer (SP)
|
100% |
67654
87.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66997
86.1 IPS |
|
|
Style Transfer (Q)
|
98% |
239368
308.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13275
490.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13064
482.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35498
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
92% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
8821
151.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9019
155.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10168
175.1 IPS |
