iPad16,1
Geekbench AI Score
4327
Single Precision Score
4811
Half Precision Score
4741
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 08 2025 02:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1042
193.8 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (Q)
|
96% |
998
186.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3938
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3698
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12267
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14037
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13665
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (Q)
|
92% |
1578
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
6674
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
8383
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
6484
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10585
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11320
87.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10167
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26739
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30632
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30350
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4545
167.8 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
