iPad16,1
Geekbench AI Score
4050
Single Precision Score
25665
Half Precision Score
35621
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 12:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
11603
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
15263
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16779
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21726
352.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7796
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
106681
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205137
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
13660
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19132
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
36543
434.2 IPS |
|
|
Face Detection (Q)
|
100% |
52681
626.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6995
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77472
596.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126637
990.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21411
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
209657
269.5 IPS |
|
|
Style Transfer (Q)
|
96% |
257502
332.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33840
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56029
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3485
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6735
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7535
130.2 IPS |
