Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4417
Single Precision Score
1660
Half Precision Score
7726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 02:55 PM |
| Views | 5 |
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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
6772
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3852
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7310
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4427
5.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
25838
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3195
253.4 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
6857
551.1 IPS |
|
|
Face Detection (SP)
|
100% |
8900
105.8 IPS |
|
|
Face Detection (HP)
|
100% |
1807
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
10238
122.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9269
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2212
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16332
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17652
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10959
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27807
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3131
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3547
71.3 IPS |
