Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
5414
Single Precision Score
2035
Half Precision Score
9963
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4260
792.3 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
99% |
9069
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9884
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8184
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
7198
8.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
30592
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4278
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
9603
771.7 IPS |
|
|
Face Detection (SP)
|
100% |
11641
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11374
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11071
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2713
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22667
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20145
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15745
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33535
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3387
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3037
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5774
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4351
87.4 IPS |
