Intel Alder Lake-H PCH (ERYING G660 ITX)
Geekbench AI Score
23886
Single Precision Score
49259
Half Precision Score
53067
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 16 2025 04:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Intel Alder Lake-H PCH (ERYING G660 ITX) |
| Motherboard | Intel Alder Lake-H PCH (ERYING G660 ITX) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12520
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
25493
4.74 KIPS |
|
|
Image Classification (Q)
|
100% |
29061
5.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22619
366.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36589
593.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
38423
622.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82532
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
346339
404.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
658921
771.4 IPS |
|
|
Object Detection (SP)
|
100% |
10283
815.7 IPS |
|
|
Object Detection (HP)
|
100% |
26997
2.14 KIPS |
|
|
Object Detection (Q)
|
88% |
29428
2.36 KIPS |
|
|
Face Detection (SP)
|
100% |
29512
350.7 IPS |
|
|
Face Detection (HP)
|
100% |
61050
725.4 IPS |
|
|
Face Detection (Q)
|
100% |
67733
804.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
59879
461.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
135312
1.04 KIPS |
|
|
Depth Estimation (Q)
|
89% |
163053
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
184407
237.1 IPS |
|
|
Style Transfer (HP)
|
100% |
570044
732.8 IPS |
|
|
Style Transfer (Q)
|
98% |
637701
822.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33163
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75471
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66891
2.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5012
6.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4662
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2919
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4645
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5821
100.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5949
102.5 IPS |
