iPad16,1
Geekbench AI Score
3742
Single Precision Score
26355
Half Precision Score
35777
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
10928
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15446
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16639
269.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21476
348.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6617
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
101690
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
201509
236.2 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
13393
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17706
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34201
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
49484
588.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6452
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78100
601.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120300
940.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19397
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204846
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246727
318.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34688
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55231
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5227
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6449
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6848
118.3 IPS |
