iPhone 15
Geekbench AI Score
1541
Single Precision Score
2772
Half Precision Score
2237
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
556
103.4 IPS |
|
|
Image Classification (HP)
|
100% |
1083
201.5 IPS |
|
|
Image Classification (Q)
|
96% |
743
138.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6492
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5663
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
97% |
1247
99.3 IPS |
|
|
Object Detection (Q)
|
94% |
915
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
1522
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2557
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5059
39.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3524
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7898
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12603
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10368
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1731
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
99% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2173
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3403
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3424
59.2 IPS |
