GPD G1619-04
Geekbench AI Score
2017
Single Precision Score
2025
Half Precision Score
1455
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 07:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| 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 | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (Q)
|
99% |
1114
207.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2828
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (Q)
|
85% |
955
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
2180
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2453
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1715
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3193
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3218
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
5367
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1377
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (Q)
|
58% |
636
14.9 IPS |
