Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
2493
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.73 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 30.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1683
314.9 IPS |
|
|
Image Classification (F16)
|
100% |
1675
313.5 IPS |
|
|
Image Classification (I8)
|
99% |
1434
268.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2806
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2778
46.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1378
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4019
4.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4017
4.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
4869
5.90 IPS |
|
|
Object Detection (F32)
|
100% |
1814
135.4 IPS |
|
|
Object Detection (F16)
|
100% |
1871
139.7 IPS |
|
|
Object Detection (I8)
|
65% |
1766
131.8 IPS |
|
|
Face Detection (F32)
|
100% |
3117
37.1 IPS |
|
|
Face Detection (F16)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (I8)
|
87% |
2951
35.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3208
24.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3176
24.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3184
24.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4397
5.78 IPS |
|
|
Style Transfer (F16)
|
100% |
4435
5.83 IPS |
|
|
Style Transfer (I8)
|
98% |
8282
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1884
67.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1875
66.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2415
86.2 IPS |
|
|
Text Classification (F32)
|
100% |
1581
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1569
2.25 KIPS |
|
|
Text Classification (I8)
|
92% |
836
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
3717
68.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3460
63.7 IPS |
|
|
Machine Translation (I8)
|
62% |
1159
21.3 IPS |
