Micro-Star International Co., Ltd. MS-7E29
Geekbench AI Score
5730
Single Precision Score
1866
Half Precision Score
9318
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 08:11 AM |
| Views | 4 |
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% |
4683
870.8 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
99% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12391
201.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10494
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4982
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
33665
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4432
351.6 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
7966
640.2 IPS |
|
|
Face Detection (SP)
|
100% |
13704
162.8 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
11524
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12345
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2520
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19032
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24506
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12990
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26554
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6436
238.3 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1445
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3633
73.0 IPS |
