iPhone 15
Geekbench AI Score
3294
Single Precision Score
23206
Half Precision Score
26481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:55 AM |
| Views | 1 |
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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
9290
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
11148
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19097
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
97567
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102384
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
12405
984.0 IPS |
|
|
Object Detection (Q)
|
91% |
14175
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
31106
369.6 IPS |
|
|
Face Detection (Q)
|
100% |
39804
473.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72048
555.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91994
719.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16439
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173098
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173245
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31975
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35681
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2899
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7176
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8366
144.6 IPS |
