iPad16,1
Geekbench AI Score
4217
Single Precision Score
4477
Half Precision Score
4413
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:23 AM |
| Views | 4 |
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% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.2 IPS |
|
|
Image Classification (Q)
|
96% |
878
163.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3739
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3754
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12114
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13800
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13358
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (Q)
|
92% |
1604
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
5705
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
5855
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
5196
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10119
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10958
84.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10129
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25917
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30072
38.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30317
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3595
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3868
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5371
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1193
20.6 IPS |
