iPad16,1
Geekbench AI Score
3888
Single Precision Score
27117
Half Precision Score
35950
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:05 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
11327
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
14379
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16887
273.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21493
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
107227
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
206187
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
13924
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17890
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34593
411.0 IPS |
|
|
Face Detection (Q)
|
100% |
46987
558.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6867
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78882
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123294
964.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20919
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205997
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
248603
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37093
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55150
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6420
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7111
122.9 IPS |
