iPad16,1
Geekbench AI Score
4149
Single Precision Score
4584
Half Precision Score
4730
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 01:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (Q)
|
96% |
1312
245.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3569
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3728
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12194
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14022
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13658
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (Q)
|
92% |
1379
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
7844
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
6373
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10505
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11288
87.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10077
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26637
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30665
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30475
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
