iPhone 15 Plus
Geekbench AI Score
3348
Single Precision Score
21827
Half Precision Score
25072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
9229
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11240
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14382
233.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19213
311.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
98660
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103993
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
11189
887.5 IPS |
|
|
Object Detection (Q)
|
91% |
13037
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31303
371.9 IPS |
|
|
Face Detection (Q)
|
100% |
38865
461.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64407
496.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
80821
631.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168007
216.0 IPS |
|
|
Style Transfer (Q)
|
96% |
168901
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27473
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30182
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7392
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8356
144.4 IPS |
