iPad16,1
Geekbench AI Score
3764
Single Precision Score
26621
Half Precision Score
36426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
10674
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15471
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16490
267.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21230
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6763
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
101590
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
202259
237.1 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
13825
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17633
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34741
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
47918
569.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78388
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123295
964.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19852
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
209752
269.6 IPS |
|
|
Style Transfer (Q)
|
96% |
251589
324.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34884
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58482
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6514
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
