iPhone 15
Geekbench AI Score
3311
Single Precision Score
22271
Half Precision Score
25094
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
9093
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10814
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16238
263.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19088
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
96716
112.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102070
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
100% |
12180
966.1 IPS |
|
|
Object Detection (Q)
|
91% |
13880
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
31223
371.0 IPS |
|
|
Face Detection (Q)
|
100% |
40344
479.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71693
552.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
89486
699.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16870
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
168754
216.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169846
219.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32470
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34689
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1935
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7275
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8221
142.1 IPS |
