iPad16,1
Geekbench AI Score
3780
Single Precision Score
26768
Half Precision Score
36838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1606
298.7 IPS |
|
|
Image Classification (HP)
|
100% |
10456
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
15851
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16603
269.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21568
349.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
103664
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
207012
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
13880
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17417
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34813
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
51206
608.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78390
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124935
976.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20065
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207830
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
253069
326.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34794
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57941
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5648
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6747
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
