iPad16,1
Geekbench AI Score
3858
Single Precision Score
6928
Half Precision Score
5693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7352
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16024
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13653
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6743
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12913
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20712
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33309
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27673
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5618
207.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7591
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7602
131.4 IPS |
