System manufacturer System Product Name
Geekbench ML Score
1031
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 20 2024 01:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| 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 | 15.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
826
154.6 IPS |
|
|
Image Classification (F16)
|
100% |
850
159.1 IPS |
|
|
Image Classification (I8)
|
99% |
616
115.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1130
18.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
671
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1407
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
1388
1.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
1644
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
740
55.2 IPS |
|
|
Object Detection (F16)
|
100% |
742
55.4 IPS |
|
|
Object Detection (I8)
|
65% |
567
42.4 IPS |
|
|
Face Detection (F32)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (I8)
|
87% |
1164
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1342
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1353
10.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1044
8.10 IPS |
|
|
Style Transfer (F32)
|
100% |
1845
2.43 IPS |
|
|
Style Transfer (F16)
|
100% |
1797
2.36 IPS |
|
|
Style Transfer (I8)
|
98% |
3124
4.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
875
31.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
875
31.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
877
31.3 IPS |
|
|
Text Classification (F32)
|
100% |
831
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
848
1.22 KIPS |
|
|
Text Classification (I8)
|
92% |
370
532.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (I8)
|
62% |
545
10.0 IPS |
