iPhone 15
Geekbench AI Score
3419
Single Precision Score
4122
Half Precision Score
3802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
873
162.4 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (Q)
|
96% |
1133
211.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2767
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11862
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12879
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12529
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (Q)
|
92% |
1289
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
5001
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8960
69.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8118
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21272
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23827
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23111
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3329
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
