iPad16,2
Geekbench AI Score
3993
Single Precision Score
6876
Half Precision Score
5601
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jocjerek |
| Upload Date | October 23 2024 12:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3123
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7948
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16091
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13930
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6951
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6981
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13410
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9235
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20951
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32287
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27110
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6189
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6198
107.1 IPS |
