Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
5029
Single Precision Score
2158
Half Precision Score
8897
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:17 AM |
| Views | 4 |
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% |
3876
720.9 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
99% |
8700
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4070
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7742
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6046
7.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
26508
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
86% |
9236
742.3 IPS |
|
|
Face Detection (SP)
|
100% |
9166
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
11363
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10039
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2861
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18779
149.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17937
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14622
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25023
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2891
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6032
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5253
105.5 IPS |
