iPad16,1
Geekbench AI Score
3857
Single Precision Score
26536
Half Precision Score
35938
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:20 AM |
| Views | 2 |
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% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
10571
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
14455
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16618
269.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21420
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7234
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
105967
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204690
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13550
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17284
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34515
410.1 IPS |
|
|
Face Detection (Q)
|
100% |
47497
564.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78724
606.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129959
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20519
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205097
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
243890
314.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34727
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57844
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6374
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6654
115.0 IPS |
