iPhone 15 Pro
Geekbench AI Score
5112
Single Precision Score
6022
Half Precision Score
5721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 04:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
1816
337.7 IPS |
|
|
Image Classification (Q)
|
94% |
2099
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4324
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4094
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13352
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15247
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14762
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
90% |
2529
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
9444
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
7210
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10966
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12330
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11329
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27344
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32635
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32280
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5700
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1444
24.9 IPS |
