Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
3866
Single Precision Score
1932
Half Precision Score
5302
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | September 10 2024 10:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D28 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 UNIFY-X (MS-7D28) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
99% |
4668
870.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2870
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4696
5.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
20957
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
88% |
2607
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
4958
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
5693
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7488
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2725
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
10489
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14803
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12445
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27042
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2585
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5470
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3404
75.9 IPS |
