Define 7 Compact Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5100
Single Precision Score
1696
Half Precision Score
7764
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DJENT |
| Upload Date | March 06 2025 11:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. MAG H670 TOMAHAWK WIFI DDR4(MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4321
803.6 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (Q)
|
99% |
7149
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3976
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4984
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
32021
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
7328
588.9 IPS |
|
|
Face Detection (SP)
|
100% |
9363
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10874
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11589
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18123
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23032
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12602
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22827
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1675
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3317
66.6 IPS |
