iPhone 15
Geekbench AI Score
3412
Single Precision Score
21821
Half Precision Score
24783
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | LWD |
| Upload Date | August 21 2025 04:24 AM |
| Views | 8 |
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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
8949
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
11574
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13743
222.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19109
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5921
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
95098
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102191
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
12259
972.4 IPS |
|
|
Object Detection (Q)
|
91% |
14443
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
31239
371.2 IPS |
|
|
Face Detection (Q)
|
100% |
39534
469.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71102
547.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89284
698.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16817
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
167248
215.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171476
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31954
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35149
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7430
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8319
143.8 IPS |
