Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
5325
Single Precision Score
2214
Half Precision Score
8877
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| 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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4255
791.3 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
99% |
8328
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4057
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8138
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6262
7.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
26866
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
86% |
9033
726.0 IPS |
|
|
Face Detection (SP)
|
100% |
10038
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
2485
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
11343
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10807
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2913
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18860
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18929
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15449
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24762
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6107
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2148
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5333
107.2 IPS |
