iPad16,2
Geekbench AI Score
3997
Single Precision Score
24266
Half Precision Score
33616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:40 AM |
| Views | 19 |
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% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
9245
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
12341
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16697
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21913
355.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7972
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
104550
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
196724
230.6 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
11242
891.7 IPS |
|
|
Object Detection (Q)
|
91% |
16744
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
34477
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
47346
562.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
63627
490.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108188
845.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
199721
256.7 IPS |
|
|
Style Transfer (Q)
|
96% |
232442
300.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28128
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47632
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5697
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5599
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6403
110.7 IPS |
