Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
3598
Single Precision Score
1194
Half Precision Score
4157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | December 15 2024 08:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2699
501.9 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
4681
873.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2603
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6924
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
21896
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
3833
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
7890
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7938
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10628
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15349
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8010
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17272
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2750
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2699
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (Q)
|
97% |
237
317.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1629
32.7 IPS |
