iPad16,5
Geekbench AI Score
4456
Single Precision Score
6378
Half Precision Score
5248
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | incoherent |
| Upload Date | August 16 2024 03:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
2613
485.9 IPS |
|
|
Image Classification (Q)
|
99% |
2606
486.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1785
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9856
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18752
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16029
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3045
242.4 IPS |
|
|
Object Detection (Q)
|
94% |
2294
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11312
87.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5792
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23955
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35358
45.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35299
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4769
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5065
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4919
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5188
89.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5147
89.0 IPS |
