iPhone 15
Geekbench AI Score
3463
Single Precision Score
6114
Half Precision Score
4951
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 06:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6428
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14415
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12168
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11648
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7896
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17344
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28556
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23591
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3865
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6624
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6572
113.6 IPS |
