Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4727
Single Precision Score
1477
Half Precision Score
6601
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | May 07 2025 02:43 PM |
| Views | 7 |
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 | Ultimative Leistung |
| 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% |
3684
685.2 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
5960
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3551
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10456
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
31194
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
6050
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
9811
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
9579
114.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11483
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14591
116.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21730
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11678
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21810
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.8 IPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2292
46.1 IPS |
