Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
4236
Single Precision Score
1392
Half Precision Score
6683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | April 11 2025 01:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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 | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3353
623.5 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
99% |
5904
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3401
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4047
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
26642
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
6245
501.9 IPS |
|
|
Face Detection (SP)
|
100% |
8684
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
9099
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9607
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1886
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15050
120.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18514
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10108
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21854
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2951
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1809
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4068
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.6 IPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3121
62.7 IPS |
