iPhone 15
Geekbench AI Score
3321
Single Precision Score
5968
Half Precision Score
4810
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 07:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
13763
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11557
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2843
226.3 IPS |
|
|
Object Detection (Q)
|
94% |
1981
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5801
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11124
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7602
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16149
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27413
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22370
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3772
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4861
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6348
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6336
109.5 IPS |
