iPhone 15
Geekbench AI Score
3132
Single Precision Score
4767
Half Precision Score
4114
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 12:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.3 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1837
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5818
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13627
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11661
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2214
176.3 IPS |
|
|
Object Detection (Q)
|
94% |
1699
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
2729
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8346
64.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6256
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16592
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25684
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21678
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3559
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4322
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4529
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4520
78.1 IPS |
