Z790 PG Riptide
Geekbench ML Score
4103
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fishingmartin |
| Upload Date | August 31 2024 03:36 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z790 PG Riptide |
| Motherboard | ASRock Z790 PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 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% |
2318
433.8 IPS |
|
|
Image Classification (F16)
|
100% |
2284
427.5 IPS |
|
|
Image Classification (I8)
|
99% |
4259
796.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1979
33.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2799
46.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7577
9.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
7852
9.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
27746
33.6 IPS |
|
|
Object Detection (F32)
|
100% |
2036
152.0 IPS |
|
|
Object Detection (F16)
|
100% |
2092
156.2 IPS |
|
|
Object Detection (I8)
|
62% |
1932
144.2 IPS |
|
|
Face Detection (F32)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (F16)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
4770
56.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9041
70.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8726
67.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
15030
116.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16771
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15981
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
26358
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3678
131.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3762
134.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5244
187.3 IPS |
|
|
Text Classification (F32)
|
100% |
1636
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1614
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
455
653.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1873
34.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1962
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2820
51.9 IPS |
