Micro-Star International Co., Ltd. MS-CF20
Geekbench AI Score
4881
Single Precision Score
6900
Half Precision Score
3298
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2921
543.3 IPS |
|
|
Image Classification (HP)
|
100% |
4277
795.4 IPS |
|
|
Image Classification (Q)
|
99% |
2192
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5743
93.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2349
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9199
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17039
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8081
9.47 IPS |
|
|
Object Detection (SP)
|
100% |
3018
239.4 IPS |
|
|
Object Detection (HP)
|
100% |
4926
390.7 IPS |
|
|
Object Detection (Q)
|
86% |
2277
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
5930
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
9649
114.6 IPS |
|
|
Face Detection (Q)
|
97% |
3888
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9990
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16677
128.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7165
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25522
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42952
55.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20016
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7868
290.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2690
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1079
20.2 IPS |
