GPD G1618-04
Geekbench AI Score
3648
Single Precision Score
3671
Half Precision Score
7655
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | October 13 2025 11:07 AM |
| Views | 4 |
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% |
2293
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.3 IPS |
|
|
Image Classification (Q)
|
100% |
4349
808.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5750
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6026
7.03 IPS |
|
|
Pose Estimation (Q)
|
98% |
24225
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (Q)
|
88% |
4281
343.2 IPS |
|
|
Face Detection (SP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
11578
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7269
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7318
56.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
11473
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16198
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16094
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34808
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3486
128.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6507
241.0 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2099
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4224
72.8 IPS |
