Micro-Star International Co., Ltd. MS-7E29
Geekbench AI Score
5680
Single Precision Score
1809
Half Precision Score
9397
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 08:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E29 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P II (MS-7E29) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4748
882.9 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
99% |
7259
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12506
203.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
32496
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4372
346.8 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
7710
619.6 IPS |
|
|
Face Detection (SP)
|
100% |
13052
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11548
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12696
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19797
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25256
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12937
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29269
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2377
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6371
235.9 IPS |
|
|
Text Classification (SP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3673
73.8 IPS |
