Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
21687
Single Precision Score
35435
Half Precision Score
14270
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 10:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
11177
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
14225
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
8474
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17559
284.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22497
364.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13136
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
51479
60.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
235050
274.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
43898
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
14359
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
19131
1.52 KIPS |
|
|
Object Detection (Q)
|
87% |
10788
865.9 IPS |
|
|
Face Detection (SP)
|
100% |
31799
377.8 IPS |
|
|
Face Detection (HP)
|
100% |
45116
536.1 IPS |
|
|
Face Detection (Q)
|
97% |
21551
257.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65423
504.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104747
807.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36847
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
198248
254.9 IPS |
|
|
Style Transfer (HP)
|
100% |
572772
736.3 IPS |
|
|
Style Transfer (Q)
|
98% |
132397
170.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32038
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58615
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16590
614.3 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2035
38.2 IPS |
