iPhone 15
Geekbench AI Score
3399
Single Precision Score
23584
Half Precision Score
27547
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 04:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
9995
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
13218
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16285
264.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19450
315.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6219
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
103961
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106072
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
13400
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
14423
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
31815
378.0 IPS |
|
|
Face Detection (Q)
|
100% |
40678
483.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73376
565.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
96388
753.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16436
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
177607
228.3 IPS |
|
|
Style Transfer (Q)
|
96% |
180452
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31601
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37014
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2781
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8787
151.8 IPS |
