iPad16,1
Geekbench AI Score
4241
Single Precision Score
4879
Half Precision Score
4663
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.0 IPS |
|
|
Image Classification (Q)
|
96% |
1022
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3621
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12123
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13308
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13173
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
2194
174.1 IPS |
|
|
Object Detection (Q)
|
92% |
1664
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
7154
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
6354
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10124
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11170
86.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10122
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25880
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29909
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29847
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4687
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4528
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
