Micro-Star International Co., Ltd. MS-7E03
Geekbench AI Score
4677
Single Precision Score
1725
Half Precision Score
7834
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E03 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790I EDGE WIFI (MS-7E03) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
6725
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3855
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7690
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4649
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
26444
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
7030
565.0 IPS |
|
|
Face Detection (SP)
|
100% |
9597
114.0 IPS |
|
|
Face Detection (HP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10665
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9940
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2285
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17040
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18323
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11440
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26980
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5216
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2014
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3508
70.5 IPS |
