iPad16,2
Geekbench AI Score
3989
Single Precision Score
25584
Half Precision Score
35645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.58 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
11034
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15741
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16238
263.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21413
347.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
105570
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
206652
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13875
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19211
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
36525
434.0 IPS |
|
|
Face Detection (Q)
|
100% |
53003
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78479
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126807
991.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20942
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204966
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
254386
328.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33931
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55114
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3534
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6812
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7432
128.4 IPS |
