GMKtec NucBox K8
Geekbench AI Score
1971
Single Precision Score
1030
Half Precision Score
2708
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sentari |
| Upload Date | October 09 2024 04:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K8 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
2601
485.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3854
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
16721
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (Q)
|
88% |
1327
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
3848
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4259
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1641
12.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3986
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9118
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8095
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21104
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1851
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.1 IPS |
|
|
Text Classification (Q)
|
97% |
348
466.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1012
22.6 IPS |
