iPhone 15
Geekbench AI Score
3532
Single Precision Score
3659
Half Precision Score
3750
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
844
157.0 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
96% |
1064
198.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2810
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11973
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12512
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11978
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (Q)
|
92% |
1263
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
4961
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8393
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8795
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7945
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20045
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21104
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22622
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4551
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
