Micro-Star International Co., Ltd. MS-CF20
Geekbench AI Score
37030
Single Precision Score
62069
Half Precision Score
28028
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:27 AM |
| Views | 3 |
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-CF20 |
| Motherboard | Micro-Star International Co., Ltd. MS-CF20 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14478
2.69 KIPS |
|
|
Image Classification (HP)
|
100% |
22351
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
12765
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27461
445.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38226
619.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24523
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
242314
282.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
708814
827.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
207172
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
19067
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
28150
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
16187
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
54993
653.4 IPS |
|
|
Face Detection (HP)
|
100% |
80047
951.1 IPS |
|
|
Face Detection (Q)
|
97% |
45058
537.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
90018
693.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
173989
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66519
531.2 IPS |
|
|
Style Transfer (SP)
|
100% |
351820
452.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1136050
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
307172
396.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55213
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88015
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41918
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6926
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6895
118.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3071
57.6 IPS |
