Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
38771
Single Precision Score
64637
Half Precision Score
29226
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
15606
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
23179
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
13687
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27989
453.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
39619
642.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
25143
408.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
248790
290.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
740995
864.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
211884
248.2 IPS |
|
|
Object Detection (SP)
|
100% |
19340
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
28799
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
16400
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
54681
649.7 IPS |
|
|
Face Detection (HP)
|
100% |
78146
928.5 IPS |
|
|
Face Detection (Q)
|
97% |
45190
538.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
95369
734.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
181815
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69618
555.9 IPS |
|
|
Style Transfer (SP)
|
100% |
365642
470.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1183278
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
317332
409.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60329
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93728
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45073
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
4407
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5705
7.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2669
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
7205
124.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7226
124.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3166
59.4 IPS |
