Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI
Geekbench ML Score
2333
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 24 2024 11:58 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2163
404.8 IPS |
|
|
Image Classification (F16)
|
100% |
2132
399.0 IPS |
|
|
Image Classification (I8)
|
99% |
1008
188.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2671
44.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2660
44.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
943
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3139
3.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
3157
3.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
2623
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
2199
164.1 IPS |
|
|
Object Detection (F16)
|
100% |
2211
165.1 IPS |
|
|
Object Detection (I8)
|
65% |
923
68.9 IPS |
|
|
Face Detection (F32)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (F16)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (I8)
|
87% |
2238
26.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3850
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3683
28.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2186
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
3383
4.45 IPS |
|
|
Style Transfer (F16)
|
100% |
3433
4.52 IPS |
|
|
Style Transfer (I8)
|
98% |
5032
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2502
89.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2530
90.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1427
51.0 IPS |
|
|
Text Classification (F32)
|
100% |
2254
3.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1356
1.95 KIPS |
|
|
Text Classification (I8)
|
92% |
695
998.6 IPS |
|
|
Machine Translation (F32)
|
100% |
4492
82.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4433
81.6 IPS |
|
|
Machine Translation (I8)
|
62% |
894
16.4 IPS |
