Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
25380
Single Precision Score
52895
Half Precision Score
58099
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:07 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% |
13017
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
27094
5.04 KIPS |
|
|
Image Classification (Q)
|
100% |
32391
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22937
371.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37023
600.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
39125
634.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84084
98.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
352070
410.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
667323
781.3 IPS |
|
|
Object Detection (SP)
|
100% |
10497
832.6 IPS |
|
|
Object Detection (HP)
|
100% |
27986
2.22 KIPS |
|
|
Object Detection (Q)
|
88% |
31025
2.49 KIPS |
|
|
Face Detection (SP)
|
100% |
31550
374.9 IPS |
|
|
Face Detection (HP)
|
100% |
66369
788.6 IPS |
|
|
Face Detection (Q)
|
100% |
74996
891.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61018
470.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
137994
1.06 KIPS |
|
|
Depth Estimation (Q)
|
89% |
165144
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
185073
237.9 IPS |
|
|
Style Transfer (HP)
|
100% |
573507
737.3 IPS |
|
|
Style Transfer (Q)
|
98% |
640260
825.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33493
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79779
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79005
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
6453
8.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5995
8.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3847
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5465
94.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6931
119.4 IPS |
