iPad16,1
Geekbench AI Score
4219
Single Precision Score
4555
Half Precision Score
4791
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
901
167.6 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.2 IPS |
|
|
Image Classification (Q)
|
96% |
1309
244.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3600
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3694
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12058
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13867
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13470
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (Q)
|
92% |
1508
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
6623
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
5863
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
5482
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10367
79.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11034
85.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10118
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26285
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30795
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30154
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3426
126.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4565
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1498
25.9 IPS |
