iPad16,1
Geekbench AI Score
4197
Single Precision Score
4649
Half Precision Score
4910
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Walkir |
| Upload Date | July 10 2025 07:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
1348
251.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3887
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3806
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12055
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13780
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13182
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
92% |
2067
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
5415
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5996
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10135
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11163
86.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26023
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29975
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29676
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4116
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
