iPad16,1
Geekbench AI Score
3761
Single Precision Score
6824
Half Precision Score
5594
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1595
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15029
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13047
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
97% |
3277
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6796
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3755
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6530
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12871
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8871
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19828
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31504
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26244
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4386
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4327
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7513
129.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7476
129.2 IPS |
