Micro-Star International Co., Ltd. MS-7E13
Geekbench AI Score
5591
Single Precision Score
1773
Half Precision Score
8677
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 01:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| 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% |
4599
855.3 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
99% |
7067
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10684
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
35877
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
4220
334.8 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
86% |
7920
636.5 IPS |
|
|
Face Detection (SP)
|
100% |
11530
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
12002
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12691
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2293
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20068
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24309
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12062
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28206
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5959
220.6 IPS |
|
|
Text Classification (SP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1884
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3645
73.2 IPS |
