iPad16,1
Geekbench AI Score
4344
Single Precision Score
4825
Half Precision Score
4430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:55 AM |
| Views | 2 |
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% |
1079
200.6 IPS |
|
|
Image Classification (HP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (Q)
|
96% |
739
138.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3817
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12095
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13910
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13612
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (Q)
|
92% |
1399
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
7943
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
6434
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10498
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10671
82.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9982
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26604
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30996
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30042
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
