iPad16,2
Geekbench AI Score
3852
Single Precision Score
26340
Half Precision Score
35660
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
10315
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
15138
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16550
268.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21750
352.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7206
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
105641
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203331
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
100% |
13530
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17018
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34713
412.5 IPS |
|
|
Face Detection (Q)
|
100% |
47812
568.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78121
601.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122691
959.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20725
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204987
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
251071
324.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4605
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34675
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55020
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6763
116.9 IPS |
