ASUS System Product Name
Geekbench ML Score
2078
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 10 2024 11:46 PM |
| Views | 3 |
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% |
1686
315.4 IPS |
|
|
Image Classification (F16)
|
100% |
1684
315.0 IPS |
|
|
Image Classification (I8)
|
99% |
1010
189.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2124
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2099
35.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1032
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3127
3.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3122
3.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
2794
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
1813
135.4 IPS |
|
|
Object Detection (F16)
|
100% |
1784
133.2 IPS |
|
|
Object Detection (I8)
|
65% |
1160
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (I8)
|
87% |
2303
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3051
23.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3032
23.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2312
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4213
5.54 IPS |
|
|
Style Transfer (F16)
|
100% |
4255
5.60 IPS |
|
|
Style Transfer (I8)
|
98% |
5624
7.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2148
76.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2131
76.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1499
53.5 IPS |
|
|
Text Classification (F32)
|
100% |
1332
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (I8)
|
92% |
598
858.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2897
53.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2874
52.9 IPS |
|
|
Machine Translation (I8)
|
62% |
861
15.8 IPS |
