iPhone 15
Geekbench AI Score
3699
Single Precision Score
3900
Half Precision Score
3744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
96% |
1136
212.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2750
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11860
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12483
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (Q)
|
92% |
1272
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
4236
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8746
67.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7949
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21609
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23598
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22989
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3528
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
