Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
3756
Single Precision Score
1650
Half Precision Score
4700
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A WIFI DDR4 (MS-7D43) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
564
105.0 IPS |
|
|
Image Classification (Q)
|
99% |
4134
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3192
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7458
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4637
5.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
25041
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
88% |
2332
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1704
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
4413
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9273
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17718
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12372
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20775
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3245
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
617
826.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2605
58.1 IPS |
