iPad16,1
Geekbench AI Score
3770
Single Precision Score
6896
Half Precision Score
5630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:01 AM |
| Views | 2 |
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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7045
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15434
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13433
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
97% |
3274
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12915
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8950
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20124
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32454
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26849
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5553
205.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5540
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7507
129.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7487
129.4 IPS |
