Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
24561
Single Precision Score
47170
Half Precision Score
18746
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:03 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-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10329
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
19444
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
9390
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18621
301.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29299
475.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17063
277.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125128
146.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
410781
479.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
116663
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
12769
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
24606
1.95 KIPS |
|
|
Object Detection (Q)
|
83% |
10923
882.6 IPS |
|
|
Face Detection (SP)
|
100% |
33783
401.4 IPS |
|
|
Face Detection (HP)
|
100% |
59074
701.9 IPS |
|
|
Face Detection (Q)
|
97% |
28942
345.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56606
436.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
119776
922.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
45580
363.8 IPS |
|
|
Style Transfer (SP)
|
100% |
175813
226.0 IPS |
|
|
Style Transfer (HP)
|
100% |
630133
810.0 IPS |
|
|
Style Transfer (Q)
|
98% |
151534
195.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34912
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69903
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26582
984.3 IPS |
|
|
Text Classification (SP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2346
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2106
39.5 IPS |
