Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
7152
Single Precision Score
7208
Half Precision Score
15861
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:44 AM |
| Views | 2 |
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-CF05 |
| Motherboard | Micro-Star International Co., Ltd. MS-CF05 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4406
819.4 IPS |
|
|
Image Classification (HP)
|
100% |
4447
827.0 IPS |
|
|
Image Classification (Q)
|
100% |
9780
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5608
90.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5636
91.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10713
173.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
8153
9.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
28947
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
4232
335.7 IPS |
|
|
Object Detection (Q)
|
88% |
10309
826.4 IPS |
|
|
Face Detection (SP)
|
100% |
12531
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
12568
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
23950
284.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10662
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10720
82.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
27547
214.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24231
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24669
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86202
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16456
609.4 IPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
5720
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6081
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6022
103.7 IPS |
