Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
4584
Single Precision Score
1903
Half Precision Score
5912
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | September 10 2024 06:39 PM |
| Views | 4 |
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, 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% |
2441
453.9 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.5 IPS |
|
|
Image Classification (Q)
|
99% |
4806
896.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3706
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4965
5.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
29839
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (HP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (Q)
|
88% |
2683
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
6340
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10038
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12052
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20813
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12136
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33982
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6018
222.8 IPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3097
69.1 IPS |
