iPhone 15
Geekbench AI Score
3416
Single Precision Score
23806
Half Precision Score
27370
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
10539
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12858
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16218
262.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19559
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6068
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
97535
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102504
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
12772
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14361
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32289
383.7 IPS |
|
|
Face Detection (Q)
|
100% |
41694
495.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73107
563.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
97095
759.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16650
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
181385
233.2 IPS |
|
|
Style Transfer (Q)
|
96% |
180442
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31061
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36221
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2701
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2846
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7568
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8464
146.3 IPS |
