iPad16,1
Geekbench AI Score
4340
Single Precision Score
4448
Half Precision Score
4365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 07:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
899
167.2 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (Q)
|
96% |
839
156.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3724
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13367
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13109
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (Q)
|
92% |
1319
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
5671
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
5525
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
6083
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10365
79.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10698
82.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26148
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29363
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28808
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3766
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1280
22.1 IPS |
