Micro-Star International Co., Ltd. MS-7E27
Geekbench AI Score
21551
Single Precision Score
38942
Half Precision Score
16924
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 01:59 PM |
| Views | 7 |
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-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9265
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
15976
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8478
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13614
220.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19780
320.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13250
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
118787
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
369652
431.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
111321
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
11211
889.2 IPS |
|
|
Object Detection (HP)
|
100% |
19147
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9611
776.5 IPS |
|
|
Face Detection (SP)
|
100% |
27604
328.0 IPS |
|
|
Face Detection (HP)
|
100% |
43690
519.1 IPS |
|
|
Face Detection (Q)
|
97% |
24312
289.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53393
411.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109292
842.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
41896
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
166914
214.6 IPS |
|
|
Style Transfer (HP)
|
100% |
568822
731.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144984
187.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32906
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62972
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26200
970.1 IPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4436
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1824
34.2 IPS |
