Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
25390
Single Precision Score
52774
Half Precision Score
58003
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:00 AM |
| Views | 3 |
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% |
13121
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
27187
5.06 KIPS |
|
|
Image Classification (Q)
|
100% |
32502
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22880
370.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
37064
600.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
38910
630.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83633
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
353440
412.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
666708
780.6 IPS |
|
|
Object Detection (SP)
|
100% |
10496
832.6 IPS |
|
|
Object Detection (HP)
|
100% |
27896
2.21 KIPS |
|
|
Object Detection (Q)
|
88% |
30889
2.48 KIPS |
|
|
Face Detection (SP)
|
100% |
31320
372.2 IPS |
|
|
Face Detection (HP)
|
100% |
65358
776.6 IPS |
|
|
Face Detection (Q)
|
100% |
74764
888.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61182
471.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
137741
1.06 KIPS |
|
|
Depth Estimation (Q)
|
89% |
165924
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
188029
241.7 IPS |
|
|
Style Transfer (HP)
|
100% |
574557
738.6 IPS |
|
|
Style Transfer (Q)
|
98% |
641441
827.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33376
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79115
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78515
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
6445
8.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
92% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5451
93.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6938
119.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6975
120.1 IPS |
