iPhone 15 Plus
Geekbench AI Score
3349
Single Precision Score
3891
Half Precision Score
3644
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 03:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (Q)
|
96% |
715
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2712
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11835
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12834
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12499
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (Q)
|
92% |
1244
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
5065
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8866
68.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8213
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21241
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23685
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23156
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2723
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3561
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
2700
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.4 IPS |
