Trigkey Key I
Geekbench AI Score
5401
Single Precision Score
7454
Half Precision Score
11274
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3459
643.2 IPS |
|
|
Image Classification (HP)
|
100% |
5127
953.5 IPS |
|
|
Image Classification (Q)
|
99% |
6650
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8208
133.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9596
155.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11404
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
8510
9.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
34539
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
4701
372.9 IPS |
|
|
Object Detection (Q)
|
90% |
7658
612.3 IPS |
|
|
Face Detection (SP)
|
100% |
8910
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
13475
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
19016
226.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11274
86.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
17627
136.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
23138
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29680
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39119
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
78871
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7577
279.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13953
516.7 IPS |
|
|
Text Classification (SP)
|
71% |
1430
2.07 KIPS |
|
|
Text Classification (HP)
|
71% |
1659
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1526
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2696
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2660
46.0 IPS |
