iPad16,1
Geekbench AI Score
4113
Single Precision Score
4609
Half Precision Score
4435
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
882
164.0 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.6 IPS |
|
|
Image Classification (Q)
|
94% |
782
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11934
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13559
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13529
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (Q)
|
90% |
2000
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
5369
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10065
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10923
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10234
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26084
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29795
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29768
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5257
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.7 IPS |
