Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
22898
Single Precision Score
40762
Half Precision Score
17927
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 10:48 AM |
| Views | 8 |
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-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9653
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
16514
3.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8934
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15790
256.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22163
359.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14363
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
121422
141.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
388365
453.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
114335
133.9 IPS |
|
|
Object Detection (SP)
|
100% |
11917
945.2 IPS |
|
|
Object Detection (HP)
|
100% |
20071
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
10323
834.0 IPS |
|
|
Face Detection (SP)
|
100% |
31011
368.5 IPS |
|
|
Face Detection (HP)
|
100% |
48979
582.0 IPS |
|
|
Face Detection (Q)
|
97% |
27053
322.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57362
441.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
117015
901.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
46489
371.1 IPS |
|
|
Style Transfer (SP)
|
100% |
181894
233.8 IPS |
|
|
Style Transfer (HP)
|
100% |
608375
782.1 IPS |
|
|
Style Transfer (Q)
|
98% |
157784
203.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33690
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62684
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26655
987.0 IPS |
|
|
Text Classification (SP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4763
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1900
35.6 IPS |
