GMKtec K16
Geekbench AI Score
3426
Single Precision Score
3438
Half Precision Score
6491
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | February 28 2026 10:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon 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% |
2273
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
100% |
4729
879.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4056
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5510
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
12337
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
100% |
1994
158.2 IPS |
|
|
Object Detection (Q)
|
87% |
4681
375.4 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
11799
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6054
46.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
12017
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15157
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15306
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35507
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3037
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7514
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
91% |
1160
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2708
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2735
47.1 IPS |
