GPD G1618-04
Geekbench AI Score
6463
Single Precision Score
8597
Half Precision Score
5120
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | July 03 2025 10:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2712
504.3 IPS |
|
|
Image Classification (HP)
|
100% |
3423
636.6 IPS |
|
|
Image Classification (Q)
|
100% |
2494
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3167
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26357
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
43711
51.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
22704
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
100% |
2919
231.5 IPS |
|
|
Object Detection (Q)
|
87% |
2135
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
10380
123.3 IPS |
|
|
Face Detection (Q)
|
97% |
5254
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15653
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20324
156.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12366
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47016
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
76997
99.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37493
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9153
338.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13140
485.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6897
255.4 IPS |
|
|
Text Classification (SP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1176
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2917
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1638
30.7 IPS |
