iPhone 15
Geekbench AI Score
3263
Single Precision Score
5931
Half Precision Score
4759
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 01:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2612
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6115
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13843
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11576
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
97% |
2782
221.5 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11104
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7489
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16071
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26688
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21879
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3709
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4818
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6160
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6168
106.6 IPS |
