iPhone 15
Geekbench AI Score
3617
Single Precision Score
3919
Half Precision Score
3583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 09:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
822
152.9 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.6 IPS |
|
|
Image Classification (Q)
|
96% |
639
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2823
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11852
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12500
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12112
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (Q)
|
92% |
1264
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
5056
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8681
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8135
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21081
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23424
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22876
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3403
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4739
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
