System manufacturer System Product Name
Geekbench ML Score
1012
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 21 2024 12:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Deepin 23 |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A320M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
728
136.3 IPS |
|
|
Image Classification (F16)
|
100% |
813
152.2 IPS |
|
|
Image Classification (I8)
|
99% |
571
106.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1056
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1052
17.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
632
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1332
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
1325
1.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
1559
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
679
50.7 IPS |
|
|
Object Detection (F16)
|
100% |
707
52.8 IPS |
|
|
Object Detection (I8)
|
65% |
541
40.4 IPS |
|
|
Face Detection (F32)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (I8)
|
87% |
1258
15.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1393
10.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1388
10.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1310
10.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1896
2.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1886
2.48 IPS |
|
|
Style Transfer (I8)
|
98% |
2889
3.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
859
30.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
839
30.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
858
30.6 IPS |
|
|
Text Classification (F32)
|
100% |
787
1.13 KIPS |
|
|
Text Classification (F16)
|
100% |
811
1.17 KIPS |
|
|
Text Classification (I8)
|
92% |
356
511.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (I8)
|
62% |
557
10.3 IPS |
