iPad16,1
Geekbench AI Score
3648
Single Precision Score
6617
Half Precision Score
4499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| 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% |
1552
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
2899
539.2 IPS |
|
|
Image Classification (Q)
|
96% |
2029
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3001
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5773
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14835
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11251
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
1811
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6957
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6665
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12884
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6304
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16935
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33804
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
14168
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3462
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4433
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4902
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6417
110.9 IPS |
