iPhone 15
Geekbench AI Score
1582
Single Precision Score
2748
Half Precision Score
2210
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 23 2025 01:50 AM |
| Views | 1 |
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% |
620
115.2 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
96% |
729
136.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
5731
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
97% |
1258
100.2 IPS |
|
|
Object Detection (Q)
|
94% |
885
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2664
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5031
38.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
3459
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7968
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12894
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10614
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1713
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3187
55.1 IPS |
