iPhone 15
Geekbench AI Score
3380
Single Precision Score
6047
Half Precision Score
4892
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 07:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14002
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11975
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2838
225.9 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3296
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11469
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7823
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16059
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27693
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22599
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3804
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4873
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4858
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6404
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6489
112.1 IPS |
