Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
25551
Single Precision Score
39982
Half Precision Score
21889
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tntoak |
| Upload Date | January 01 2026 08:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| 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% |
12178
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15734
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
11633
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12611
204.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15815
256.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17777
289.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
131795
153.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
431942
504.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
115744
135.6 IPS |
|
|
Object Detection (SP)
|
100% |
10977
870.7 IPS |
|
|
Object Detection (HP)
|
99% |
16834
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
10151
815.3 IPS |
|
|
Face Detection (SP)
|
100% |
33573
398.9 IPS |
|
|
Face Detection (HP)
|
100% |
50256
597.1 IPS |
|
|
Face Detection (Q)
|
97% |
28735
342.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65827
507.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96643
744.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
54932
440.5 IPS |
|
|
Style Transfer (SP)
|
100% |
241206
310.1 IPS |
|
|
Style Transfer (HP)
|
100% |
478019
614.5 IPS |
|
|
Style Transfer (Q)
|
98% |
205961
265.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37924
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72295
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31614
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2882
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6610
113.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7089
122.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3509
65.8 IPS |
