iPad16,1
Geekbench AI Score
3958
Single Precision Score
27022
Half Precision Score
37296
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Walkir |
| Upload Date | July 10 2025 07:12 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
10692
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15583
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15718
254.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21411
347.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7426
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
103897
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205613
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
14024
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18000
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
34408
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
48760
579.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6775
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77908
600.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121763
952.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20535
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205204
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249392
321.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34440
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56587
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5418
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8191
141.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9290
160.5 IPS |
