iPhone 15 Plus
Geekbench AI Score
3445
Single Precision Score
21723
Half Precision Score
25371
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 08:53 PM |
| Views | 30 |
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% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
9323
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10737
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14047
227.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19172
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5992
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
98169
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101721
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
100% |
13000
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14873
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
27064
321.6 IPS |
|
|
Face Detection (Q)
|
100% |
39690
471.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72730
560.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91476
715.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17355
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
173759
223.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173361
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31242
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34487
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2000
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7272
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8175
141.3 IPS |
