Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench ML Score
2087
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 04 2024 06:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 61.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1571
293.9 IPS |
|
|
Image Classification (F16)
|
100% |
1518
284.0 IPS |
|
|
Image Classification (I8)
|
99% |
1463
273.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2671
44.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2663
44.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1409
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2757
3.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
2373
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
5548
6.72 IPS |
|
|
Object Detection (F32)
|
100% |
1661
124.0 IPS |
|
|
Object Detection (F16)
|
100% |
1646
122.9 IPS |
|
|
Object Detection (I8)
|
65% |
1963
146.5 IPS |
|
|
Face Detection (F32)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (F16)
|
100% |
2241
26.7 IPS |
|
|
Face Detection (I8)
|
87% |
2975
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2054
15.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2037
15.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3284
25.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1995
2.62 IPS |
|
|
Style Transfer (F16)
|
100% |
1993
2.62 IPS |
|
|
Style Transfer (I8)
|
98% |
6315
8.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1680
60.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1679
60.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2580
92.1 IPS |
|
|
Text Classification (F32)
|
100% |
1393
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (I8)
|
92% |
856
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2857
52.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2933
54.0 IPS |
|
|
Machine Translation (I8)
|
62% |
1092
20.1 IPS |
