iPad16,1
Geekbench AI Score
3690
Single Precision Score
6754
Half Precision Score
5497
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
2889
537.3 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2925
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6705
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14575
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12637
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2270
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3706
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6305
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12426
96.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8649
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19319
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25833
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7397
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
