iPhone 15
Geekbench AI Score
3129
Single Precision Score
3388
Half Precision Score
3014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.8 IPS |
|
|
Image Classification (Q)
|
97% |
574
107.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11732
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12437
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11415
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (Q)
|
91% |
1105
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
4230
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8692
67.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7516
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21111
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23412
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21880
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3017
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4619
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
98% |
356
6.15 IPS |
