iPhone 15
Geekbench AI Score
3539
Single Precision Score
6090
Half Precision Score
4927
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 12:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6784
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
14818
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12700
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2926
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6209
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3504
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12367
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8236
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18461
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27988
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23408
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4661
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5909
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5942
102.7 IPS |
