iPad16,1
Geekbench AI Score
3806
Single Precision Score
6896
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3054
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7216
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13565
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3285
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6618
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12769
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8955
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20411
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32854
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27077
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4554
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7644
132.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
