iPad16,1
Geekbench AI Score
3878
Single Precision Score
27085
Half Precision Score
35809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:17 AM |
| Views | 11 |
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% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
11559
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
14040
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16624
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21760
352.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7444
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
107404
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205282
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
13859
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17254
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34902
414.7 IPS |
|
|
Face Detection (Q)
|
100% |
47768
567.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6860
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78529
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123204
963.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21235
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208380
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247266
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34879
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55705
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7262
125.5 IPS |
