iPad16,1
Geekbench AI Score
3828
Single Precision Score
6971
Half Precision Score
5667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7335
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16096
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13847
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6942
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6668
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12862
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8982
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20628
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33169
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27450
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4355
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7597
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7543
130.4 IPS |
