Micro Computer(HK) Tech Limited Neptune series
Geekbench AI Score
4954
Single Precision Score
6624
Half Precision Score
10000
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Peda |
| Upload Date | November 04 2024 01:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3146
585.1 IPS |
|
|
Image Classification (HP)
|
100% |
4644
863.6 IPS |
|
|
Image Classification (Q)
|
99% |
5910
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4513
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7176
116.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8298
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11066
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
8140
9.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
33473
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (HP)
|
100% |
4155
329.6 IPS |
|
|
Object Detection (Q)
|
90% |
6502
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
7440
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
11911
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
17372
206.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10804
83.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
16339
126.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
20956
162.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28435
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37226
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
74910
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7371
272.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13502
500.0 IPS |
|
|
Text Classification (SP)
|
71% |
1291
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1430
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1892
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1827
31.5 IPS |
