iPad16,1
Geekbench AI Score
3954
Single Precision Score
25202
Half Precision Score
35654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 07:36 PM |
| Views | 3 |
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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
10984
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15625
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16730
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21623
350.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7558
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
102200
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205606
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13705
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18862
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34181
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
52787
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6778
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78021
601.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125851
984.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20551
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209527
269.4 IPS |
|
|
Style Transfer (Q)
|
96% |
256073
330.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4711
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33977
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58550
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3355
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6610
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7583
131.0 IPS |
