Gigabyte Technology Co., Ltd. Z790 UD
Geekbench ML Score
2348
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | TSB |
| Upload Date | April 26 2024 09:12 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Gigabyte Technology Co., Ltd. Z790 UD |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 UD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 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 | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 31.11 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1963
367.3 IPS |
|
|
Image Classification (F16)
|
100% |
2013
376.7 IPS |
|
|
Image Classification (I8)
|
99% |
1124
210.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2473
41.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2462
41.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1156
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3747
4.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
3762
4.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
3580
4.34 IPS |
|
|
Object Detection (F32)
|
100% |
1984
148.1 IPS |
|
|
Object Detection (F16)
|
100% |
1980
147.8 IPS |
|
|
Object Detection (I8)
|
65% |
1188
88.7 IPS |
|
|
Face Detection (F32)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (F16)
|
100% |
3765
44.8 IPS |
|
|
Face Detection (I8)
|
87% |
2691
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3564
27.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3538
27.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2773
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4713
6.20 IPS |
|
|
Style Transfer (F16)
|
100% |
4717
6.21 IPS |
|
|
Style Transfer (I8)
|
98% |
6730
8.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2581
92.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2534
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1824
65.1 IPS |
|
|
Text Classification (F32)
|
100% |
1321
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (I8)
|
92% |
483
694.4 IPS |
|
|
Machine Translation (F32)
|
100% |
3156
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3127
57.5 IPS |
|
|
Machine Translation (I8)
|
62% |
944
17.4 IPS |
