Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench ML Score
3075
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | wkg21 |
| Upload Date | October 04 2024 02:50 PM |
| Views | 1 |
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 | 6.08 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 | 30.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2756
515.7 IPS |
|
|
Image Classification (F16)
|
100% |
2725
510.0 IPS |
|
|
Image Classification (I8)
|
99% |
1779
332.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3387
56.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3394
56.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1538
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3417
4.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
3396
4.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
4618
5.59 IPS |
|
|
Object Detection (F32)
|
100% |
2229
166.4 IPS |
|
|
Object Detection (F16)
|
100% |
2236
166.9 IPS |
|
|
Object Detection (I8)
|
65% |
1683
125.7 IPS |
|
|
Face Detection (F32)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (F16)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (I8)
|
87% |
3651
43.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3816
29.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3879
30.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3652
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3729
4.91 IPS |
|
|
Style Transfer (F16)
|
100% |
3720
4.89 IPS |
|
|
Style Transfer (I8)
|
98% |
7852
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3189
113.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3169
113.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2542
90.8 IPS |
|
|
Text Classification (F32)
|
100% |
3144
4.52 KIPS |
|
|
Text Classification (F16)
|
100% |
3101
4.46 KIPS |
|
|
Text Classification (I8)
|
92% |
1114
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
4755
87.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4721
86.9 IPS |
|
|
Machine Translation (I8)
|
62% |
1354
24.9 IPS |
