iPhone 15
Geekbench AI Score
3011
Single Precision Score
4658
Half Precision Score
4044
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
1903
354.0 IPS |
|
|
Image Classification (Q)
|
96% |
1472
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1810
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5424
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10981
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2155
171.5 IPS |
|
|
Object Detection (Q)
|
94% |
1655
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
2704
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4909
37.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7875
60.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5980
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15872
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24933
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21081
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4338
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4583
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4576
79.1 IPS |
