GPD G1618-04
Geekbench AI Score
2693
Single Precision Score
1362
Half Precision Score
5504
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | October 13 2025 11:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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% |
1889
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.3 IPS |
|
|
Image Classification (Q)
|
99% |
4338
809.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6803
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5167
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4310
5.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
20814
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
4815
387.0 IPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7723
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6348
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10048
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12587
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10864
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27604
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1643
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (Q)
|
97% |
1028
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2386
47.9 IPS |
