iPhone 15
Geekbench AI Score
3325
Single Precision Score
5996
Half Precision Score
4834
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 23 2025 10:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1438
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2612
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5834
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13350
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11405
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2829
225.2 IPS |
|
|
Object Detection (Q)
|
94% |
1997
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3286
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11485
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7725
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16246
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27416
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22384
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3798
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4827
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6510
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6474
111.9 IPS |
