iPhone 15
Geekbench AI Score
3598
Single Precision Score
4306
Half Precision Score
3397
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
688
127.9 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
96% |
713
133.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11765
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12440
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
92% |
1105
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
5522
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
6478
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8997
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9352
72.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8169
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21585
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23725
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23286
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2344
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4859
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
831
14.4 IPS |
