Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3345
Single Precision Score
1396
Half Precision Score
5765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| 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% |
2670
496.6 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
99% |
5127
956.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2781
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
18691
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
5269
423.4 IPS |
|
|
Face Detection (SP)
|
100% |
6287
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
7971
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12457
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12970
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9364
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20278
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.2 IPS |
|
|
Text Classification (Q)
|
97% |
1504
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2594
52.1 IPS |
