iPhone 15
Geekbench AI Score
3557
Single Precision Score
22960
Half Precision Score
27108
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | whgywls2 |
| Upload Date | April 18 2026 06:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
9418
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
12873
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13736
222.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16647
269.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
102154
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104761
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
12874
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14684
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
31645
376.0 IPS |
|
|
Face Detection (Q)
|
100% |
40076
476.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75045
578.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
94345
737.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18261
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181444
233.2 IPS |
|
|
Style Transfer (Q)
|
96% |
181668
234.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31549
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38302
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2887
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7500
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8561
147.9 IPS |
