iPad16,1
Geekbench AI Score
3884
Single Precision Score
26945
Half Precision Score
36416
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 08 2025 02:35 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
10417
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
14301
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16672
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21720
352.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7533
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
107207
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
207234
242.9 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
14173
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17432
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
34724
412.6 IPS |
|
|
Face Detection (Q)
|
100% |
52040
618.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6761
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78339
603.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
122918
961.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21031
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
210120
270.1 IPS |
|
|
Style Transfer (Q)
|
96% |
249031
321.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4676
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36061
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57847
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7186
124.2 IPS |
