iPad16,1
Geekbench AI Score
3898
Single Precision Score
25248
Half Precision Score
35883
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | July 05 2025 04:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.72 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
10955
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
17251
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16407
266.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21527
349.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
102052
119.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204465
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
100% |
13714
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18934
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
34149
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
52786
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6722
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78329
603.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126996
992.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20326
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205732
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
254034
327.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34014
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55553
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3428
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6725
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7591
131.2 IPS |
