Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4690
Single Precision Score
4781
Half Precision Score
8502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | April 26 2025 07:37 AM |
| Views | 7 |
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 | 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% |
2983
554.7 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.6 IPS |
|
|
Image Classification (Q)
|
100% |
5540
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5391
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7769
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
7768
9.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
17637
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (Q)
|
88% |
5336
427.7 IPS |
|
|
Face Detection (SP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
8449
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
13692
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7862
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8286
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13593
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22092
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22186
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49277
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9897
366.5 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1911
32.9 IPS |
