GPD G1619-04
Geekbench AI Score
2882
Single Precision Score
1503
Half Precision Score
3668
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
4170
777.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2254
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5570
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4748
5.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
20556
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
88% |
2014
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
4394
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6670
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2301
17.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4622
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13085
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11850
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23361
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2377
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3194
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.7 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1863
41.6 IPS |
