Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
4666
Single Precision Score
1716
Half Precision Score
6774
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Morgulio |
| Upload Date | September 21 2025 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D29 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690I UNIFY (MS-7D29) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3542
658.6 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (Q)
|
99% |
6769
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3255
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7577
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4821
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
26126
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3564
282.7 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
6326
508.4 IPS |
|
|
Face Detection (SP)
|
100% |
9743
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
10257
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9810
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17145
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18579
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12082
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30055
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3088
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
656
879.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3238
65.1 IPS |
