iPad16,1
Geekbench AI Score
3817
Single Precision Score
26154
Half Precision Score
35162
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:10 PM |
| Views | 1 |
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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
10877
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
14393
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15793
256.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21337
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6982
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
105352
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204805
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
13061
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
17049
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
36562
434.4 IPS |
|
|
Face Detection (Q)
|
100% |
48151
572.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6668
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76941
592.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121554
950.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20513
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205677
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250629
323.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32898
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51593
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5965
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6586
113.8 IPS |
