Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4124
Single Precision Score
4115
Half Precision Score
8135
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | May 07 2025 02:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (Q)
|
100% |
5450
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5699
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7626
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7682
8.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (Q)
|
88% |
5474
438.8 IPS |
|
|
Face Detection (SP)
|
100% |
7333
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
7033
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
13249
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7469
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7379
56.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14203
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20941
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20869
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44068
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3541
130.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8634
319.7 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4575
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1368
23.6 IPS |
