iPad16,1
Geekbench AI Score
3793
Single Precision Score
6848
Half Precision Score
5607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1612
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7130
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15628
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13506
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
3249
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6812
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3810
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6661
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12878
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8895
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20066
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32872
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26564
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5335
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7545
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7533
130.2 IPS |
