Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
1802
Single Precision Score
1841
Half Precision Score
1208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:01 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 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% |
794
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5953
6.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3652
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (HP)
|
98% |
740
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1294
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3221
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3540
27.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2378
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11171
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15023
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8314
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
508
677.4 IPS |
|
|
Text Classification (Q)
|
97% |
455
609.4 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
70% |
412
7.73 IPS |
