iPhone 15
Geekbench AI Score
3478
Single Precision Score
6144
Half Precision Score
4993
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.1 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14452
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12267
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2861
227.8 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3360
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11520
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7870
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17366
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28502
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23213
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3830
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6946
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6931
119.8 IPS |
