iPad16,2
Geekbench AI Score
3763
Single Precision Score
6895
Half Precision Score
5608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 12:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3049
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7091
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15703
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13218
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3769
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6474
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12833
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8819
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19933
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32727
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26513
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4472
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5724
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7426
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
