Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
1802
Single Precision Score
1855
Half Precision Score
1214
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | December 15 2024 08:57 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5627
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3784
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
858
68.1 IPS |
|
|
Object Detection (HP)
|
98% |
735
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
719
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1313
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3282
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3565
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2428
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11508
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15284
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8523
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
993
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
532
709.6 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.4 IPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
70% |
394
7.38 IPS |
