GPD G1619-04
Geekbench AI Score
2895
Single Precision Score
800
Half Precision Score
6733
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 07:40 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (Q)
|
97% |
6932
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5695
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
19942
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
6726
540.6 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
97% |
13781
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6555
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
13648
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13451
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11500
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20232
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2349
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3304
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
637
849.8 IPS |
|
|
Text Classification (Q)
|
97% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2186
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (Q)
|
65% |
3168
63.7 IPS |
