Trigkey S6
Geekbench AI Score
3345
Single Precision Score
1554
Half Precision Score
4186
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Trigkey S6 |
| Motherboard | Trigkey S6 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2860
531.9 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (Q)
|
96% |
4556
850.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
3308
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
10985
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (Q)
|
58% |
2408
263.1 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
7167
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7724
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2292
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10054
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13146
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11050
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15669
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4009
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
416
557.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2205
42.6 IPS |
