Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
21651
Single Precision Score
35472
Half Precision Score
14226
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 10:57 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% |
11113
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
14502
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
8487
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17551
284.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22422
363.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13151
213.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
51623
60.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
234444
273.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
43791
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
14415
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
18871
1.50 KIPS |
|
|
Object Detection (Q)
|
87% |
10758
863.5 IPS |
|
|
Face Detection (SP)
|
100% |
31590
375.4 IPS |
|
|
Face Detection (HP)
|
100% |
45034
535.1 IPS |
|
|
Face Detection (Q)
|
97% |
21476
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65546
505.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105136
810.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36649
293.7 IPS |
|
|
Style Transfer (SP)
|
100% |
198015
254.6 IPS |
|
|
Style Transfer (HP)
|
100% |
570512
733.4 IPS |
|
|
Style Transfer (Q)
|
98% |
132257
170.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32130
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58840
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16628
615.7 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2009
37.7 IPS |
