iPhone 15
Geekbench AI Score
2722
Single Precision Score
4301
Half Precision Score
3640
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 03:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.3 IPS |
|
|
Image Classification (Q)
|
96% |
1437
268.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1703
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4879
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
11600
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9733
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.4 IPS |
|
|
Object Detection (HP)
|
97% |
1960
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1430
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3681
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
2326
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3760
29.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7284
56.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5143
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13847
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20669
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17629
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4111
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4140
71.5 IPS |
