Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2028
Single Precision Score
1109
Half Precision Score
3094
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 05:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
2854
532.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1862
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
13046
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
88% |
1557
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
3222
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3723
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6122
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7918
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6621
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
13748
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3089
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.1 IPS |
|
|
Text Classification (Q)
|
97% |
474
634.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1880
41.9 IPS |
