GMKtec K16
Geekbench AI Score
2514
Single Precision Score
1311
Half Precision Score
4575
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | February 28 2026 10:36 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec K16 |
| Motherboard | GMKtec NucBox K16 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
96% |
4338
810.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
4941
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4075
4.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
10204
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1860
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
58% |
2797
305.7 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5983
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6209
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1975
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8449
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11357
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10200
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10982
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4089
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1869
36.1 IPS |
