Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3393
Single Precision Score
1425
Half Precision Score
5936
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2693
500.8 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
5009
934.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2841
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5382
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
18922
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
86% |
5460
438.8 IPS |
|
|
Face Detection (SP)
|
100% |
6424
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
8033
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12847
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12730
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9326
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21003
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2437
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1851
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3944
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.3 IPS |
|
|
Text Classification (Q)
|
97% |
1593
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2714
54.5 IPS |
