iPhone 15
Geekbench AI Score
3154
Single Precision Score
4814
Half Precision Score
4148
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1471
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1853
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5842
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13829
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11727
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2207
175.7 IPS |
|
|
Object Detection (Q)
|
94% |
1707
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4411
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
2807
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8424
65.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6315
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16551
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25873
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21811
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4327
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4609
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4577
79.1 IPS |
