iPad16,1
Geekbench AI Score
3802
Single Precision Score
6897
Half Precision Score
5653
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:48 AM |
| Views | 3 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.0 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7113
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15480
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13589
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6922
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6598
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12803
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8888
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20163
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32694
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27023
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7506
129.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7577
130.9 IPS |
