Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
4660
Single Precision Score
1874
Half Precision Score
5895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | September 10 2024 06:11 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% |
2646
492.0 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
4815
898.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3785
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
30298
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (HP)
|
100% |
932
74.0 IPS |
|
|
Object Detection (Q)
|
88% |
2933
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
5637
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
6279
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10000
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2631
20.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12212
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21732
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12361
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30964
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6076
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
733
981.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2963
66.1 IPS |
