iPad16,1
Geekbench AI Score
3850
Single Precision Score
26881
Half Precision Score
36229
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1612
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
10510
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
14550
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16732
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21605
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7169
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
107260
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
206157
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
14179
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17396
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34633
411.5 IPS |
|
|
Face Detection (Q)
|
100% |
47668
566.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6833
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78530
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126118
986.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20970
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207144
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247307
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36245
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58655
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6590
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7216
124.7 IPS |
