GPD G1618-04
Geekbench AI Score
2714
Single Precision Score
1310
Half Precision Score
5444
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | February 11 2025 02:25 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1618-04 |
| Motherboard | GPD G1618-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
4236
790.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2817
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4598
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
21694
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4575
367.7 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
8257
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10552
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13527
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11874
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24400
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3110
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.1 IPS |
|
|
Text Classification (Q)
|
97% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2391
48.0 IPS |
