iPad16,1
Geekbench AI Score
3744
Single Precision Score
6866
Half Precision Score
5600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:03 PM |
| Views | 2 |
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% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3012
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6900
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15504
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13505
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3769
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12794
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8799
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19773
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32384
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26371
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4344
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7393
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7463
129.0 IPS |
