MINIX NGC NR660
Geekbench AI Score
2299
Single Precision Score
1133
Half Precision Score
3706
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MINIX NGC NR660 |
| Motherboard | MINIX NGC NR660 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
96% |
3092
577.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1915
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
7981
9.44 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.8 IPS |
|
|
Object Detection (Q)
|
58% |
2397
261.9 IPS |
|
|
Face Detection (SP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
6557
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7769
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9329
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7398
9.51 IPS |
|
|
Style Transfer (Q)
|
87% |
13187
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2161
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.6 IPS |
|
|
Text Classification (Q)
|
97% |
1427
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2084
40.3 IPS |
