iPhone 15
Geekbench AI Score
3374
Single Precision Score
4169
Half Precision Score
3872
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.5 IPS |
|
|
Image Classification (Q)
|
96% |
1099
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2714
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11800
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12928
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
92% |
1298
103.6 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
6138
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
5023
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8780
67.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8103
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21189
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23698
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22894
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
