Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench ML Score
2056
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 04 2024 09:19 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 | 32.0 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% |
1498
280.3 IPS |
|
|
Image Classification (F16)
|
100% |
1525
285.4 IPS |
|
|
Image Classification (I8)
|
99% |
1470
275.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2429
40.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2424
40.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1442
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2412
2.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
2401
2.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
5541
6.71 IPS |
|
|
Object Detection (F32)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
1648
123.0 IPS |
|
|
Object Detection (I8)
|
65% |
1964
146.6 IPS |
|
|
Face Detection (F32)
|
100% |
2250
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (I8)
|
87% |
2963
35.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2058
16.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2047
15.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3270
25.4 IPS |
|
|
Style Transfer (F32)
|
100% |
1988
2.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1994
2.62 IPS |
|
|
Style Transfer (I8)
|
98% |
6300
8.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1674
59.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1670
59.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2572
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
1375
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (I8)
|
92% |
850
1.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
2808
51.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2884
53.1 IPS |
|
|
Machine Translation (I8)
|
62% |
1102
20.3 IPS |
