iPad16,2
Geekbench AI Score
4164
Single Precision Score
4488
Half Precision Score
4513
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 07:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
96% |
1072
200.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3730
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12677
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13472
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13380
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (Q)
|
92% |
1376
109.9 IPS |
|
|
Face Detection (SP)
|
100% |
5028
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
5824
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10480
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10866
83.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9995
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26484
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29903
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29518
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3764
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5996
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.0 IPS |
