Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
9565
Single Precision Score
3487
Half Precision Score
15118
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WallyS |
| Upload Date | November 12 2025 01:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
8590
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (Q)
|
99% |
14952
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17617
286.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16674
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13100
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
56410
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
8389
665.4 IPS |
|
|
Object Detection (HP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (Q)
|
86% |
15022
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
20495
243.5 IPS |
|
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
15915
189.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20552
158.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4768
36.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
38636
308.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38384
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27717
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43701
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6188
228.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6806
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2531
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5924
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
6038
121.3 IPS |
