System manufacturer System Product Name
Geekbench ML Score
1020
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 24 2024 04:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | NixOS 24.05 (Uakari) |
| 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 | 15.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
817
152.8 IPS |
|
|
Image Classification (F16)
|
100% |
820
153.4 IPS |
|
|
Image Classification (I8)
|
99% |
602
112.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1086
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
663
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1351
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
1355
1.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
1675
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
722
53.9 IPS |
|
|
Object Detection (F16)
|
100% |
714
53.3 IPS |
|
|
Object Detection (I8)
|
65% |
575
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (I8)
|
87% |
1353
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1349
10.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1348
10.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1396
10.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1726
2.27 IPS |
|
|
Style Transfer (F16)
|
100% |
1735
2.28 IPS |
|
|
Style Transfer (I8)
|
98% |
3051
4.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
843
30.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
843
30.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
897
32.0 IPS |
|
|
Text Classification (F32)
|
100% |
778
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
812
1.17 KIPS |
|
|
Text Classification (I8)
|
92% |
370
531.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
21.9 IPS |
|
|
Machine Translation (I8)
|
62% |
498
9.16 IPS |
