iPad16,1
Geekbench AI Score
3980
Single Precision Score
6945
Half Precision Score
5691
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7951
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16256
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14180
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6929
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12840
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9042
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21253
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33872
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27886
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5148
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7694
133.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7553
130.5 IPS |
