iPhone 15
Geekbench AI Score
2601
Single Precision Score
2664
Half Precision Score
1020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
661
123.0 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
97% |
892
166.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2412
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11354
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12039
14.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
11090
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
92% |
1156
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
3812
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8144
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7203
55.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21178
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23074
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21245
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3105
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.7 IPS |
|
|
Text Classification (Q)
|
93% |
223
299.0 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
795
13.7 IPS |
