Micro Computer(HK) Tech Limited Neptune series
Geekbench AI Score
2644
Single Precision Score
1088
Half Precision Score
3233
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Peda |
| Upload Date | November 04 2024 01:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro Computer(HK) Tech Limited Neptune series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHBAA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
2880
537.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2328
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5335
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
17478
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
88% |
1511
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
3203
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7055
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11728
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7915
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17044
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
539
719.1 IPS |
|
|
Text Classification (Q)
|
97% |
411
550.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1415
31.6 IPS |
