iPad16,1
Geekbench AI Score
3840
Single Precision Score
26823
Half Precision Score
35812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:05 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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
11202
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14328
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16637
269.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21605
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
105824
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204845
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
13671
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17363
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
34538
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
47563
565.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6791
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78497
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121787
952.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20555
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205213
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247533
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35047
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55423
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5540
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6552
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7159
123.7 IPS |
