iPad16,2
Geekbench AI Score
3865
Single Precision Score
26545
Half Precision Score
36984
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 20 2025 01:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
10576
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15772
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16660
270.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21912
355.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7214
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
106485
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
207560
243.3 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
100% |
13611
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18031
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34388
408.6 IPS |
|
|
Face Detection (Q)
|
100% |
50653
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6819
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78806
607.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124154
970.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20872
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
209263
269.0 IPS |
|
|
Style Transfer (Q)
|
96% |
250454
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34537
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59074
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7317
126.4 IPS |
