GPD G1619-04
Geekbench AI Score
1892
Single Precision Score
1901
Half Precision Score
1372
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 06:04 PM |
| Views | 20 |
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% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (Q)
|
99% |
1006
187.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
2751
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
85% |
915
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
2067
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2311
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2309
17.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1709
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3012
3.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5051
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1314
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
720
967.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (Q)
|
58% |
573
13.4 IPS |
