Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
1861
Single Precision Score
1905
Half Precision Score
1253
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:56 AM |
| Views | 2 |
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 i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
824
153.3 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
100% |
709
131.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
841
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
3767
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (HP)
|
98% |
767
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
743
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1938
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
1332
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3314
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3643
28.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2445
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11510
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15490
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8550
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.3 IPS |
|
|
Text Classification (Q)
|
97% |
478
640.7 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
429
8.05 IPS |
