Micro-Star International Co., Ltd. MS-CF20
Geekbench AI Score
5114
Single Precision Score
2220
Half Precision Score
8719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
3876
720.9 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.1 IPS |
|
|
Image Classification (Q)
|
99% |
8743
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3915
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8002
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
26959
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3708
294.2 IPS |
|
|
Object Detection (HP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (Q)
|
86% |
8276
665.1 IPS |
|
|
Face Detection (SP)
|
100% |
10540
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
11855
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10678
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3179
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18389
146.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19055
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16311
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26405
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3101
114.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5973
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2103
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4600
92.4 IPS |
