Micro-Star International Co., Ltd. MS-7E13
Geekbench AI Score
21929
Single Precision Score
40258
Half Precision Score
16998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 01:15 PM |
| 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-7E13 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR WIFI II (MS-7E13) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9557
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
16979
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8734
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14646
237.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20055
325.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13573
220.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
114076
133.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
377173
440.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106257
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
11153
884.7 IPS |
|
|
Object Detection (HP)
|
100% |
20023
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9839
794.9 IPS |
|
|
Face Detection (SP)
|
100% |
27609
328.1 IPS |
|
|
Face Detection (HP)
|
100% |
42485
504.8 IPS |
|
|
Face Detection (Q)
|
97% |
24377
290.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52308
403.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
114752
884.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
42199
336.8 IPS |
|
|
Style Transfer (SP)
|
100% |
166428
213.9 IPS |
|
|
Style Transfer (HP)
|
100% |
577672
742.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145606
187.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33582
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65533
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25632
949.1 IPS |
|
|
Text Classification (SP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2347
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1804
33.8 IPS |
