Micro Computer(HK) Tech Limited Neptune series
Geekbench AI Score
2106
Single Precision Score
561
Half Precision Score
2819
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | thejapan |
| Upload Date | August 23 2024 04:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer(HK) Tech Limited Neptune series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHBAA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
2328
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3587
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
12337
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
88% |
1409
113.0 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
97% |
3064
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4396
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
76% |
6295
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8683
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6386
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
12850
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2887
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
474
632.9 IPS |
|
|
Text Classification (Q)
|
97% |
395
528.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
60% |
1638
36.5 IPS |
