System manufacturer System Product Name
Geekbench ML Score
1068
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | July 26 2024 01:03 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% |
858
160.5 IPS |
|
|
Image Classification (F16)
|
100% |
855
160.1 IPS |
|
|
Image Classification (I8)
|
99% |
616
115.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1132
18.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
684
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1450
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
1449
1.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
1695
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
736
55.0 IPS |
|
|
Object Detection (F16)
|
100% |
740
55.2 IPS |
|
|
Object Detection (I8)
|
65% |
579
43.2 IPS |
|
|
Face Detection (F32)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (F16)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (I8)
|
87% |
1367
16.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1463
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1453
11.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1403
10.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1924
2.53 IPS |
|
|
Style Transfer (F16)
|
100% |
1928
2.54 IPS |
|
|
Style Transfer (I8)
|
98% |
3215
4.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
900
32.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
895
31.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
900
32.1 IPS |
|
|
Text Classification (F32)
|
100% |
800
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
92% |
369
530.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1276
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1277
23.5 IPS |
|
|
Machine Translation (I8)
|
62% |
526
9.69 IPS |
