iPad16,1
Geekbench AI Score
3846
Single Precision Score
6952
Half Precision Score
5683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 08 2025 02:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.0 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7289
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
16187
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13842
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3294
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6686
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12828
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9024
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20786
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33245
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27259
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5645
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7657
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7614
131.6 IPS |
