Alder lake Intel RVP
Geekbench ML Score
3092
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 11:10 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1522
284.9 IPS |
|
|
Image Classification (F16)
|
100% |
1536
287.4 IPS |
|
|
Image Classification (I8)
|
99% |
2923
547.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1499
25.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2305
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4732
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4694
5.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
16935
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
1570
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
1588
118.6 IPS |
|
|
Object Detection (I8)
|
62% |
1492
111.4 IPS |
|
|
Face Detection (F32)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (F16)
|
100% |
3336
39.7 IPS |
|
|
Face Detection (I8)
|
89% |
3732
44.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5683
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5922
45.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11101
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11840
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11943
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19265
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2621
93.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2773
99.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3647
130.2 IPS |
|
|
Text Classification (F32)
|
100% |
1181
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (I8)
|
98% |
966
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1688
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2406
44.3 IPS |
