Micro-Star International Co., Ltd. MS-CF20
Geekbench AI Score
6842
Single Precision Score
10310
Half Precision Score
15614
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3937
732.1 IPS |
|
|
Image Classification (HP)
|
100% |
7338
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10184
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5560
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3578
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7955
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
35331
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
76811
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
6286
498.6 IPS |
|
|
Object Detection (Q)
|
87% |
10321
828.3 IPS |
|
|
Face Detection (SP)
|
100% |
12601
149.7 IPS |
|
|
Face Detection (HP)
|
100% |
18501
219.8 IPS |
|
|
Face Detection (Q)
|
100% |
34610
411.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10474
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18795
144.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35201
273.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24254
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54762
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96412
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14591
538.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24322
900.7 IPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2149
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4763
82.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4857
83.7 IPS |
