GPD G1619-04
Geekbench AI Score
3181
Single Precision Score
5298
Half Precision Score
2328
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | zgqinc |
| Upload Date | August 17 2024 03:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1053
195.7 IPS |
|
|
Image Classification (HP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (Q)
|
100% |
966
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14970
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35313
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10052
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (Q)
|
89% |
827
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
1347
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6108
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11322
87.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
4474
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31283
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
61180
78.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18280
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9508
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3355
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1019
22.7 IPS |
