Intel Corporation STK2M364CC
Geekbench AI Score
337
Single Precision Score
207
Half Precision Score
290
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rothomp3 |
| Upload Date | September 23 2025 12:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 515 |
| 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% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
174
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
586
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
562
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.15 IPS |
|
|
Object Detection (Q)
|
86% |
186
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
382
4.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.86 IPS |
|
|
Depth Estimation (Q)
|
77% |
548
4.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1157
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
929
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1095
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.7 IPS |
|
|
Text Classification (HP)
|
100% |
94
125.1 IPS |
|
|
Text Classification (Q)
|
97% |
116
155.8 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
96% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
70% |
136
2.56 IPS |
