Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
1806
Single Precision Score
1848
Half Precision Score
1216
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 02:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
800
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
100% |
689
128.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5459
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3647
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (HP)
|
98% |
739
58.8 IPS |
|
|
Object Detection (Q)
|
86% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1293
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3222
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3541
27.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2376
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11170
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14993
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8298
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
976
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.7 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.8 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
70% |
415
7.78 IPS |
