Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
4871
Single Precision Score
2050
Half Precision Score
8669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3760
699.3 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.2 IPS |
|
|
Image Classification (Q)
|
99% |
8611
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3885
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7186
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5588
6.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
25655
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3645
289.2 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (Q)
|
86% |
8709
700.0 IPS |
|
|
Face Detection (SP)
|
100% |
9089
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
10986
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9855
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2771
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18468
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17218
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13737
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24494
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3352
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2647
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6020
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5125
103.0 IPS |
