iPad16,1
Geekbench AI Score
3950
Single Precision Score
6938
Half Precision Score
5678
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:25 AM |
| 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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7640
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15854
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13567
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3275
260.7 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6768
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12973
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8875
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20364
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33388
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27499
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4375
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7550
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7688
132.9 IPS |
