Intel Corporation STK2M364CC
Geekbench AI Score
788
Single Precision Score
1184
Half Precision Score
1131
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rothomp3 |
| Upload Date | September 23 2025 01:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 515 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel Corporation STK2M364CC |
| Motherboard | Intel Corporation STK2M364CC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core m3-6Y30 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 1.51 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
100% |
667
124.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
1228
1.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
1787
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
99% |
829
66.0 IPS |
|
|
Object Detection (Q)
|
88% |
777
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
1939
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2565
19.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
2351
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3650
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
5249
6.75 IPS |
|
|
Style Transfer (Q)
|
98% |
4772
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1052
38.9 IPS |
|
|
Text Classification (SP)
|
71% |
269
388.8 IPS |
|
|
Text Classification (HP)
|
71% |
337
487.7 IPS |
|
|
Text Classification (Q)
|
92% |
260
349.7 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
99% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
607
10.5 IPS |
