Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7358
Single Precision Score
3000
Half Precision Score
12711
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aneeshprabhu6 |
| Upload Date | January 07 2026 10:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5465
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
958
178.2 IPS |
|
|
Image Classification (Q)
|
99% |
12729
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18384
298.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22642
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15246
17.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68431
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
5667
449.5 IPS |
|
|
Object Detection (HP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (Q)
|
86% |
14698
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
10045
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
15506
184.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17264
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4253
32.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30712
245.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41429
53.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32481
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45020
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2502
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4960
99.7 IPS |
