iPhone 15
Geekbench AI Score
3560
Single Precision Score
21890
Half Precision Score
25941
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 07:47 PM |
| Views | 3 |
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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
10172
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12282
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15218
246.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17528
284.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
96619
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102366
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
12022
953.6 IPS |
|
|
Object Detection (Q)
|
91% |
14696
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
27603
328.0 IPS |
|
|
Face Detection (Q)
|
100% |
34643
411.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6048
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71368
549.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90013
703.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18016
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170420
219.1 IPS |
|
|
Style Transfer (Q)
|
96% |
170498
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32280
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36190
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2702
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7217
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8197
141.7 IPS |
