Alder lake Intel RVP
Geekbench ML Score
2679
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 11:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alder lake Intel RVP |
| Motherboard | Alder lake Intel RVP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1273
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
1239
231.8 IPS |
|
|
Image Classification (I8)
|
100% |
988
184.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2113
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2101
35.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1503
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
12722
15.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12803
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
6150
7.45 IPS |
|
|
Object Detection (F32)
|
100% |
1447
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
1458
108.8 IPS |
|
|
Object Detection (I8)
|
54% |
1181
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (F16)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (I8)
|
89% |
1971
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6319
49.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6258
48.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4415
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
26616
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27107
35.7 IPS |
|
|
Style Transfer (I8)
|
98% |
16863
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3900
139.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3887
138.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1639
58.5 IPS |
|
|
Text Classification (F32)
|
100% |
808
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
778
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
422
606.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (I8)
|
70% |
622
11.4 IPS |
