GMKtec NucBox K4
Geekbench AI Score
3458
Single Precision Score
1600
Half Precision Score
6554
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | January 03 2025 05:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K4 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2703
502.6 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
7498
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3435
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
22254
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
7289
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
5673
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
10285
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7717
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2493
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7281
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14288
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12769
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26733
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3449
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2859
57.5 IPS |
