iPhone 15
Geekbench AI Score
3328
Single Precision Score
5968
Half Precision Score
4831
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.9 IPS |
|
|
Image Classification (Q)
|
96% |
1815
339.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2564
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13422
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11299
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2823
224.7 IPS |
|
|
Object Detection (Q)
|
94% |
2007
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3227
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11221
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7566
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16677
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22587
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3784
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4644
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6726
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6781
117.2 IPS |
