SZ ReachingTech Limited DQ05proplus
Geekbench AI Score
510
Single Precision Score
517
Half Precision Score
353
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | March 19 2026 06:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N95 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.3 |
| Model | SZ ReachingTech Limited DQ05proplus |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel(R) N95 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
259
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
312
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (Q)
|
85% |
220
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
683
8.11 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
97% |
456
5.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
587
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
660
5.08 IPS |
|
|
Depth Estimation (Q)
|
63% |
466
4.37 IPS |
|
|
Style Transfer (SP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
1072
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1218
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
407
542.7 IPS |
|
|
Text Classification (HP)
|
100% |
490
653.7 IPS |
|
|
Text Classification (Q)
|
92% |
233
312.4 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
58% |
180
4.22 IPS |
