Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
24963
Single Precision Score
48649
Half Precision Score
19081
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 02:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10405
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
19655
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
9530
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19024
308.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
30103
488.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17396
282.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
126979
148.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
425044
496.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
117575
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
13004
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
25445
2.02 KIPS |
|
|
Object Detection (Q)
|
83% |
11219
906.4 IPS |
|
|
Face Detection (SP)
|
100% |
33344
396.2 IPS |
|
|
Face Detection (HP)
|
100% |
60079
713.9 IPS |
|
|
Face Detection (Q)
|
97% |
28853
344.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56986
439.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
125619
967.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
45711
364.9 IPS |
|
|
Style Transfer (SP)
|
100% |
178743
229.8 IPS |
|
|
Style Transfer (HP)
|
100% |
645656
830.0 IPS |
|
|
Style Transfer (Q)
|
98% |
153421
197.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35777
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71347
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27367
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5015
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2147
40.3 IPS |
