iPad16,1
Geekbench AI Score
3888
Single Precision Score
6949
Half Precision Score
5713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 01:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7387
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16232
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13785
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3894
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6856
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12979
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9078
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21038
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33578
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27872
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7625
131.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
