System manufacturer System Product Name
Geekbench ML Score
934
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | December 13 2023 06:51 AM |
| Views | 49 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| 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 | 15.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
735
137.6 IPS |
|
|
Image Classification (F16)
|
100% |
704
131.8 IPS |
|
|
Image Classification (I8)
|
99% |
550
103.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
999
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
927
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
501
8.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
1265
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1204
1.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
1596
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
620
46.3 IPS |
|
|
Object Detection (F16)
|
100% |
637
47.6 IPS |
|
|
Object Detection (I8)
|
65% |
519
38.7 IPS |
|
|
Face Detection (F32)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (I8)
|
87% |
1266
15.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1229
9.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
1223
9.48 IPS |
|
|
Depth Estimation (I8)
|
95% |
1074
8.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1687
2.22 IPS |
|
|
Style Transfer (F16)
|
100% |
1849
2.43 IPS |
|
|
Style Transfer (I8)
|
98% |
3087
4.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
734
26.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
845
30.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
853
30.5 IPS |
|
|
Text Classification (F32)
|
100% |
808
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (I8)
|
92% |
340
488.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1039
19.1 IPS |
|
|
Machine Translation (I8)
|
62% |
502
9.24 IPS |
