Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5844
Single Precision Score
1740
Half Precision Score
9090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | June 07 2025 10:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4468
830.9 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
7866
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4316
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11560
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5009
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
35437
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
4545
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
8525
685.2 IPS |
|
|
Face Detection (SP)
|
100% |
12800
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
12976
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13628
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2265
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20736
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26118
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12484
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32411
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5488
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4372
87.9 IPS |
