Micro-Star International Co., Ltd. MS-CF20
Geekbench AI Score
5777
Single Precision Score
9291
Half Precision Score
14069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4037
750.7 IPS |
|
|
Image Classification (HP)
|
100% |
6212
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8285
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8935
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12801
207.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12124
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11333
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38326
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (HP)
|
100% |
6002
476.0 IPS |
|
|
Object Detection (Q)
|
88% |
9371
750.9 IPS |
|
|
Face Detection (SP)
|
100% |
7927
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
15645
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
23881
283.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12793
98.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22541
174.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26601
206.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30111
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42579
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90615
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9675
357.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15662
580.0 IPS |
|
|
Text Classification (SP)
|
71% |
1550
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2603
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2644
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3360
58.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3347
57.7 IPS |
