GPD G1619-05
Geekbench AI Score
13177
Single Precision Score
16247
Half Precision Score
10297
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1619-05 |
| Motherboard | GPD G1619-05 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7778
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
9012
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
6675
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8065
130.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7395
119.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8171
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81300
94.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
139332
162.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
67125
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
4224
335.1 IPS |
|
|
Object Detection (HP)
|
99% |
7852
622.8 IPS |
|
|
Object Detection (Q)
|
87% |
4136
332.2 IPS |
|
|
Face Detection (SP)
|
100% |
14906
177.1 IPS |
|
|
Face Detection (HP)
|
100% |
17092
203.1 IPS |
|
|
Face Detection (Q)
|
97% |
13968
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28160
217.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
30266
233.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
21596
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
113100
145.4 IPS |
|
|
Style Transfer (HP)
|
100% |
175234
225.3 IPS |
|
|
Style Transfer (Q)
|
98% |
107842
139.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23372
863.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34640
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15832
586.2 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1139
21.4 IPS |
