Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
25349
Single Precision Score
52823
Half Precision Score
58084
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13070
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
27200
5.06 KIPS |
|
|
Image Classification (Q)
|
100% |
32585
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22851
370.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37074
601.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
39109
634.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
84016
98.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
352689
411.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
667432
781.4 IPS |
|
|
Object Detection (SP)
|
100% |
10532
835.4 IPS |
|
|
Object Detection (HP)
|
100% |
27826
2.21 KIPS |
|
|
Object Detection (Q)
|
88% |
31029
2.49 KIPS |
|
|
Face Detection (SP)
|
100% |
31258
371.4 IPS |
|
|
Face Detection (HP)
|
100% |
65278
775.6 IPS |
|
|
Face Detection (Q)
|
100% |
74716
887.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
61121
470.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
138653
1.07 KIPS |
|
|
Depth Estimation (Q)
|
89% |
166273
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
185720
238.7 IPS |
|
|
Style Transfer (HP)
|
100% |
574799
738.9 IPS |
|
|
Style Transfer (Q)
|
98% |
639869
825.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33718
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79837
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78687
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
6386
8.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6885
119.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6983
120.3 IPS |
