iPhone 15
Geekbench AI Score
3478
Single Precision Score
6425
Half Precision Score
5200
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.9 IPS |
|
|
Image Classification (Q)
|
96% |
1796
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
14154
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11760
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3355
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11520
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7842
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16102
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27868
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22897
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3816
140.9 IPS |
|
|
Text Classification (SP)
|
99% |
5089
6.79 KIPS |
|
|
Text Classification (HP)
|
99% |
8382
11.2 KIPS |
|
|
Text Classification (Q)
|
92% |
8343
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6494
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6461
111.7 IPS |
