System manufacturer System Product Name
Geekbench ML Score
1023
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 02:01 PM |
| Views | 3 |
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% |
809
151.3 IPS |
|
|
Image Classification (F16)
|
100% |
816
152.8 IPS |
|
|
Image Classification (I8)
|
99% |
589
110.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1058
17.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
617
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1352
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
1356
1.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
1597
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
717
53.6 IPS |
|
|
Object Detection (F16)
|
100% |
708
52.9 IPS |
|
|
Object Detection (I8)
|
65% |
525
39.2 IPS |
|
|
Face Detection (F32)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (I8)
|
87% |
1256
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1360
10.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1306
10.1 IPS |
|
|
Style Transfer (F32)
|
100% |
1879
2.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1882
2.48 IPS |
|
|
Style Transfer (I8)
|
98% |
2914
3.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
863
30.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
850
30.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
849
30.3 IPS |
|
|
Text Classification (F32)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
837
1.20 KIPS |
|
|
Text Classification (I8)
|
92% |
368
528.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1280
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1243
22.9 IPS |
|
|
Machine Translation (I8)
|
62% |
551
10.1 IPS |
