Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench ML Score
1829
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 27 2024 07:33 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 30.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1518
284.1 IPS |
|
|
Image Classification (F16)
|
100% |
1517
284.0 IPS |
|
|
Image Classification (I8)
|
99% |
884
165.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1955
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
746
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2584
3.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
2587
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2410
2.92 IPS |
|
|
Object Detection (F32)
|
100% |
1203
89.8 IPS |
|
|
Object Detection (F16)
|
100% |
1194
89.1 IPS |
|
|
Object Detection (I8)
|
65% |
828
61.8 IPS |
|
|
Face Detection (F32)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (I8)
|
87% |
1815
21.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2879
22.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2877
22.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1838
14.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3861
5.08 IPS |
|
|
Style Transfer (F16)
|
100% |
3861
5.08 IPS |
|
|
Style Transfer (I8)
|
98% |
4679
6.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1717
61.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1726
61.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1242
44.3 IPS |
|
|
Text Classification (F32)
|
100% |
1572
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1576
2.27 KIPS |
|
|
Text Classification (I8)
|
92% |
522
750.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3038
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3062
56.4 IPS |
|
|
Machine Translation (I8)
|
62% |
654
12.0 IPS |
