Trigkey Key I
Geekbench AI Score
11735
Single Precision Score
13787
Half Precision Score
9104
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Trigkey Key I |
| Motherboard | Trigkey Key I |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4905
912.2 IPS |
|
|
Image Classification (HP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
4216
784.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6844
110.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6062
98.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6176
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
76839
89.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
116522
136.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
70033
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
4586
363.8 IPS |
|
|
Object Detection (HP)
|
99% |
6339
502.9 IPS |
|
|
Object Detection (Q)
|
87% |
4253
341.6 IPS |
|
|
Face Detection (SP)
|
100% |
14387
171.0 IPS |
|
|
Face Detection (HP)
|
100% |
16469
195.7 IPS |
|
|
Face Detection (Q)
|
97% |
12548
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35996
277.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41615
320.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27596
221.3 IPS |
|
|
Style Transfer (SP)
|
100% |
144996
186.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205874
264.7 IPS |
|
|
Style Transfer (Q)
|
98% |
121427
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20089
741.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23841
880.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14751
546.2 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (Q)
|
70% |
933
17.5 IPS |
