Trigkey S6
Geekbench AI Score
4199
Single Precision Score
4217
Half Precision Score
7049
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 09:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX with Radeon Graphics |
| 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% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.4 IPS |
|
|
Image Classification (Q)
|
100% |
4936
918.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5858
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5914
6.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
12534
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (Q)
|
87% |
4934
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
97% |
12980
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7405
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7428
57.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13068
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16539
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16567
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35777
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7282
269.7 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (Q)
|
91% |
1217
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3926
67.6 IPS |
