iPad16,1
Geekbench AI Score
3817
Single Precision Score
27041
Half Precision Score
36305
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
11910
2.21 KIPS |
|
|
Image Classification (Q)
|
97% |
15256
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16364
265.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21667
351.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7218
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
107248
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
206420
241.9 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
14077
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
18098
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
34380
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
48622
577.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6691
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78581
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
126150
986.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20620
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206343
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
248882
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34836
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52799
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7262
125.5 IPS |
