Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
6740
Single Precision Score
6776
Half Precision Score
15420
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| 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 i7-14700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3998
743.6 IPS |
|
|
Image Classification (HP)
|
100% |
4031
749.6 IPS |
|
|
Image Classification (Q)
|
100% |
9891
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5386
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5331
86.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10740
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7653
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
7718
9.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
27963
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3821
303.1 IPS |
|
|
Object Detection (HP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (Q)
|
88% |
10402
833.9 IPS |
|
|
Face Detection (SP)
|
100% |
11301
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
11510
136.8 IPS |
|
|
Face Detection (Q)
|
100% |
23145
275.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9849
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9893
76.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25727
200.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23075
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23231
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77973
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15932
590.0 IPS |
|
|
Text Classification (SP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
92% |
5644
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5936
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5895
101.5 IPS |
