Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5076
Single Precision Score
1692
Half Precision Score
6615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | December 28 2024 05:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
4905
914.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4447
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12786
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5164
6.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
41164
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
88% |
2654
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
5772
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12007
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12153
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28176
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12944
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31215
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5723
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1812
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2966
66.2 IPS |
