iPad16,2
Geekbench AI Score
3984
Single Precision Score
6843
Half Precision Score
5596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 02:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3104
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7921
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15850
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13923
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3367
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3362
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6895
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13590
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9305
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20949
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31987
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27037
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6190
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6195
107.1 IPS |
