System manufacturer System Product Name
Geekbench ML Score
1047
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 03:36 PM |
| Views | 3 |
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% |
837
156.7 IPS |
|
|
Image Classification (F16)
|
100% |
864
161.7 IPS |
|
|
Image Classification (I8)
|
99% |
625
117.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
677
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1440
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
1430
1.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
1686
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
750
56.0 IPS |
|
|
Object Detection (F16)
|
100% |
736
55.0 IPS |
|
|
Object Detection (I8)
|
65% |
575
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1325
15.8 IPS |
|
|
Face Detection (I8)
|
87% |
1168
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1432
11.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1357
10.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1348
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1898
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1855
2.44 IPS |
|
|
Style Transfer (I8)
|
98% |
2907
3.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
880
31.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
881
31.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
892
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
840
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (I8)
|
92% |
372
535.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1289
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (I8)
|
62% |
554
10.2 IPS |
