iPhone 15 Plus
Geekbench AI Score
3696
Single Precision Score
4062
Half Precision Score
3523
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (Q)
|
96% |
640
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11817
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12870
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12480
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (Q)
|
92% |
1242
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4709
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8640
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8962
69.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8212
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21266
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23849
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23218
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4015
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3882
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3447
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
847
14.6 IPS |
