iPad16,1
Geekbench AI Score
3811
Single Precision Score
6887
Half Precision Score
5661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:49 PM |
| Views | 7 |
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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.9 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3059
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7110
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15703
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13681
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3868
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6630
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12798
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8988
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20281
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32607
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27253
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5580
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7439
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7501
129.6 IPS |
