iPhone 15
Geekbench AI Score
3696
Single Precision Score
3840
Half Precision Score
3825
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:29 AM |
| 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% |
1086
201.9 IPS |
|
|
Image Classification (HP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (Q)
|
96% |
1181
220.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2823
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12006
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13018
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12627
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (Q)
|
92% |
1310
104.6 IPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
4157
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8761
67.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8382
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21290
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23936
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23494
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4089
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4715
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
