ASUS System Product Name
Geekbench ML Score
1899
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 10 2024 11:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1684
315.2 IPS |
|
|
Image Classification (F16)
|
100% |
1673
313.1 IPS |
|
|
Image Classification (I8)
|
99% |
996
186.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2096
35.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2097
35.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
954
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3022
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
3075
3.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
2740
3.32 IPS |
|
|
Object Detection (F32)
|
100% |
1224
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
1789
133.6 IPS |
|
|
Object Detection (I8)
|
65% |
1172
87.5 IPS |
|
|
Face Detection (F32)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (F16)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (I8)
|
87% |
2287
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2137
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3039
23.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2287
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3794
4.99 IPS |
|
|
Style Transfer (F16)
|
100% |
2846
3.74 IPS |
|
|
Style Transfer (I8)
|
98% |
3958
5.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2131
76.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1604
57.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1492
53.3 IPS |
|
|
Text Classification (F32)
|
100% |
1310
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (I8)
|
92% |
515
739.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2853
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2354
43.3 IPS |
|
|
Machine Translation (I8)
|
62% |
710
13.1 IPS |
