GMKtec K16
Geekbench AI Score
4595
Single Precision Score
7397
Half Precision Score
3351
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | February 28 2026 10:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
3060
569.1 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22869
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47897
55.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15968
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (Q)
|
87% |
1570
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5851
69.5 IPS |
|
|
Face Detection (Q)
|
97% |
2677
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10057
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16532
127.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7481
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43240
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
73052
93.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27670
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7370
272.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13768
508.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4535
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1093
20.5 IPS |
