iPhone 15
Geekbench AI Score
3493
Single Precision Score
3810
Half Precision Score
3778
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 06:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
824
153.2 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (Q)
|
96% |
1138
212.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11789
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12796
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12463
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (Q)
|
92% |
1263
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
4941
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8451
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8616
66.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8075
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21191
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23539
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22879
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
818
14.1 IPS |
