iPhone 15
Geekbench AI Score
3371
Single Precision Score
5980
Half Precision Score
4849
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 11:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2602
483.8 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14025
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11899
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2787
221.9 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3211
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11252
87.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7722
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16373
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27635
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20967
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5063
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6784
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6854
118.4 IPS |
