iPhone 15
Geekbench AI Score
3632
Single Precision Score
3778
Half Precision Score
3554
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 23 2025 10:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (Q)
|
96% |
662
123.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2724
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11799
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12832
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12472
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (Q)
|
92% |
1303
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8840
68.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8178
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23708
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22839
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4886
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
822
14.2 IPS |
