GPD G1619-04
Geekbench ML Score
1770
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 07 2024 12:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Fedora Linux 39 (Workstation Edition) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.29 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 46.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1506
281.9 IPS |
|
|
Image Classification (F16)
|
100% |
1536
287.5 IPS |
|
|
Image Classification (I8)
|
99% |
1090
204.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2034
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2034
34.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1039
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2300
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2290
2.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
3005
3.64 IPS |
|
|
Object Detection (F32)
|
100% |
1533
114.5 IPS |
|
|
Object Detection (F16)
|
100% |
1484
110.8 IPS |
|
|
Object Detection (I8)
|
65% |
1088
81.3 IPS |
|
|
Face Detection (F32)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (F16)
|
100% |
2570
30.6 IPS |
|
|
Face Detection (I8)
|
87% |
2054
24.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2458
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2542
19.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2252
17.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2941
3.87 IPS |
|
|
Style Transfer (F16)
|
100% |
2907
3.82 IPS |
|
|
Style Transfer (I8)
|
98% |
5301
6.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1611
57.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1543
55.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1513
54.0 IPS |
|
|
Text Classification (F32)
|
100% |
863
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (I8)
|
92% |
496
712.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2439
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2381
43.8 IPS |
|
|
Machine Translation (I8)
|
62% |
835
15.4 IPS |
