iPhone 15 Pro
Geekbench AI Score
3713
Single Precision Score
6839
Half Precision Score
5605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2996
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7095
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15502
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13694
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3725
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6551
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12703
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8800
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20195
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32207
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26723
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4456
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4328
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5729
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7337
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7300
126.1 IPS |
