iPhone 15
Geekbench AI Score
3086
Single Precision Score
4727
Half Precision Score
4078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1813
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5526
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
13069
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11305
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1672
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
4330
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
2733
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5003
38.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8242
63.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6190
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16216
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25716
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21399
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4335
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4584
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4551
78.6 IPS |
