GPD G1618-04
Geekbench AI Score
3288
Single Precision Score
3147
Half Precision Score
8075
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | November 15 2025 12:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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% |
1731
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (Q)
|
100% |
5237
973.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6157
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4469
5.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
18001
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (Q)
|
88% |
5138
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
15954
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5815
44.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
13067
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11636
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12122
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37100
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2349
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6708
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2476
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2412
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3078
53.0 IPS |
