Intel Alder Lake-H PCH (ERYING G660 ITX)
Geekbench AI Score
18710
Single Precision Score
30718
Half Precision Score
12360
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 16 2025 04:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
7736
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
12234
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
6449
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15050
244.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18598
301.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11443
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50088
58.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
218297
254.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42962
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
12830
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
16520
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
9318
747.9 IPS |
|
|
Face Detection (SP)
|
100% |
28165
334.7 IPS |
|
|
Face Detection (HP)
|
100% |
37423
444.7 IPS |
|
|
Face Detection (Q)
|
97% |
17580
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
60096
463.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94970
731.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36021
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
174754
224.6 IPS |
|
|
Style Transfer (HP)
|
100% |
523993
673.6 IPS |
|
|
Style Transfer (Q)
|
98% |
123692
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28922
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51413
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14210
526.2 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1542
28.9 IPS |
