Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
2018
Single Precision Score
2207
Half Precision Score
1653
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aneeshprabhu6 |
| Upload Date | January 07 2026 10:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
100% |
687
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6705
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
10972
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6020
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (Q)
|
87% |
705
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
2302
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
2125
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3884
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4634
35.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3403
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11420
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16531
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10041
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2160
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
523
701.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
70% |
623
11.7 IPS |
