iPhone 15 Pro
Geekbench AI Score
3944
Single Precision Score
6964
Half Precision Score
5702
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8073
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16427
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14345
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6986
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12622
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9004
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21437
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34411
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28233
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7401
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7366
127.3 IPS |
