iPad16,1
Geekbench AI Score
3826
Single Precision Score
6928
Half Precision Score
5693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:08 AM |
| Views | 5 |
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% |
1605
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7272
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16036
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13512
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
3312
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6918
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6671
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12877
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20572
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32731
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27219
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4331
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7610
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7540
130.3 IPS |
