GPD G1619-04
Geekbench AI Score
4522
Single Precision Score
4515
Half Precision Score
13925
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 07:42 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| 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% |
3025
562.6 IPS |
|
|
Image Classification (HP)
|
100% |
3082
573.1 IPS |
|
|
Image Classification (Q)
|
100% |
9043
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9606
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5807
6.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
23280
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2792
221.5 IPS |
|
|
Object Detection (Q)
|
88% |
9354
749.8 IPS |
|
|
Face Detection (SP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
6390
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
22025
261.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7446
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7503
57.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
23369
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15795
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16028
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61402
79.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12025
445.3 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5223
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4885
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7304
125.8 IPS |
