System manufacturer System Product Name
Geekbench ML Score
1059
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | July 26 2024 06:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| 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% |
850
159.1 IPS |
|
|
Image Classification (F16)
|
100% |
839
157.1 IPS |
|
|
Image Classification (I8)
|
99% |
610
114.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
676
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1436
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
1430
1.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
1676
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
733
54.7 IPS |
|
|
Object Detection (F16)
|
100% |
734
54.8 IPS |
|
|
Object Detection (I8)
|
65% |
568
42.4 IPS |
|
|
Face Detection (F32)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1485
17.7 IPS |
|
|
Face Detection (I8)
|
87% |
1357
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1447
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1442
11.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
1393
10.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1917
2.52 IPS |
|
|
Style Transfer (F16)
|
100% |
1904
2.50 IPS |
|
|
Style Transfer (I8)
|
98% |
3181
4.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
881
31.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
878
31.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
886
31.6 IPS |
|
|
Text Classification (F32)
|
100% |
834
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
847
1.22 KIPS |
|
|
Text Classification (I8)
|
92% |
363
522.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1221
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (I8)
|
62% |
525
9.66 IPS |
