iPhone 15
Geekbench AI Score
3813
Single Precision Score
4046
Half Precision Score
3743
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:55 PM |
| Views | 3 |
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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.7 IPS |
|
|
Image Classification (Q)
|
96% |
724
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2717
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11893
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12970
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12457
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
92% |
1278
102.0 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
5047
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8781
67.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8066
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21233
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23750
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22980
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.6 IPS |
