ASRock Z790 Riptide WiFi
Geekbench ML Score
4817
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 12:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock Z790 Riptide WiFi |
| Motherboard | ASRock Z790 Riptide WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2624
491.0 IPS |
|
|
Image Classification (F16)
|
100% |
2623
490.9 IPS |
|
|
Image Classification (I8)
|
99% |
4355
815.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2236
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2252
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3187
53.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10185
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
10199
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
33071
40.0 IPS |
|
|
Object Detection (F32)
|
100% |
2438
182.0 IPS |
|
|
Object Detection (F16)
|
100% |
2424
181.0 IPS |
|
|
Object Detection (I8)
|
62% |
2118
158.1 IPS |
|
|
Face Detection (F32)
|
100% |
5237
62.3 IPS |
|
|
Face Detection (F16)
|
100% |
5260
62.5 IPS |
|
|
Face Detection (I8)
|
89% |
5362
63.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10466
81.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10560
81.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
17453
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23315
30.7 IPS |
|
|
Style Transfer (F16)
|
100% |
23402
30.8 IPS |
|
|
Style Transfer (I8)
|
98% |
31130
40.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4310
153.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4217
150.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5964
213.0 IPS |
|
|
Text Classification (F32)
|
100% |
1784
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1802
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
501
720.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2333
42.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2305
42.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3252
59.9 IPS |
