System manufacturer System Product Name
Geekbench ML Score
1520
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 06:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Nobara Linux 40 (GNOME Edition) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.95 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 46.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1049
196.3 IPS |
|
|
Image Classification (F16)
|
100% |
1092
204.4 IPS |
|
|
Image Classification (I8)
|
99% |
991
185.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1710
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1034
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1993
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1996
2.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
3317
4.02 IPS |
|
|
Object Detection (F32)
|
100% |
1230
91.8 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
65% |
1182
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (F16)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (I8)
|
87% |
2249
26.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1673
13.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1748
13.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2294
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2090
2.75 IPS |
|
|
Style Transfer (F16)
|
100% |
2074
2.73 IPS |
|
|
Style Transfer (I8)
|
98% |
4820
6.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1260
45.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1316
47.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1376
49.2 IPS |
|
|
Text Classification (F32)
|
100% |
898
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
819
1.18 KIPS |
|
|
Text Classification (I8)
|
92% |
588
844.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2088
38.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2036
37.5 IPS |
|
|
Machine Translation (I8)
|
62% |
825
15.2 IPS |
