Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5820
Single Precision Score
1735
Half Precision Score
8767
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | March 06 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| 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 MAX (MS-7D86) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4865
904.7 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
7814
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4412
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12096
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5070
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
36311
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4229
335.5 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
7922
636.7 IPS |
|
|
Face Detection (SP)
|
100% |
11496
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
12450
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13874
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2318
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18360
146.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26802
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13298
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25423
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6221
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1884
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3972
79.8 IPS |
