iPhone 15
Geekbench AI Score
3533
Single Precision Score
6200
Half Precision Score
4992
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 05:56 AM |
| Views | 4 |
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% |
1427
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.4 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2649
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6786
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15292
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12528
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11535
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7964
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18039
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29338
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23901
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6675
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6644
114.8 IPS |
