iPhone 15
Geekbench AI Score
3267
Single Precision Score
3597
Half Precision Score
3101
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | January 04 2025 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
763
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (Q)
|
97% |
650
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2497
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11944
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12553
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11821
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (Q)
|
91% |
1200
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
5462
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
4023
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8896
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21591
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24042
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22534
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3016
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4716
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.49 IPS |
