iPhone 15
Geekbench AI Score
3417
Single Precision Score
6068
Half Precision Score
4923
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 02 2025 07:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13922
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5946
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3374
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11510
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7812
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17155
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28179
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23437
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3928
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3825
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4847
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6527
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6530
112.9 IPS |
