iPhone 15
Geekbench AI Score
3559
Single Precision Score
22697
Half Precision Score
26192
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
9482
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
11454
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14197
230.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19108
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
95911
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102104
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
12130
962.1 IPS |
|
|
Object Detection (Q)
|
91% |
13689
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
31639
375.9 IPS |
|
|
Face Detection (Q)
|
100% |
39774
472.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6065
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71393
550.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89632
700.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17946
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168600
216.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171938
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32069
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35163
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2787
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7326
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8269
142.9 IPS |
