iPad16,1
Geekbench AI Score
2155
Single Precision Score
2262
Half Precision Score
2311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (Q)
|
96% |
1327
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3771
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3703
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11950
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13530
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13309
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
1619
128.5 IPS |
|
|
Object Detection (Q)
|
92% |
1708
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
5798
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
6505
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
6021
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10217
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11144
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10092
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26026
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30106
38.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29827
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3788
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.00 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.0 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.27 IPS |
