Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
5979
Single Precision Score
2563
Half Precision Score
12058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 02:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4417
821.5 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
99% |
10989
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16652
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14740
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11584
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
62982
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
12865
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
14501
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14332
110.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3700
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
27786
221.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30135
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25040
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43845
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3329
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3427
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4118
82.8 IPS |
