iPhone 15 Pro
Geekbench AI Score
3799
Single Precision Score
6925
Half Precision Score
5677
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 10:01 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7734
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16749
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14366
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
3278
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3845
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6735
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12756
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8943
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20826
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33258
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27440
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5473
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7290
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7364
127.3 IPS |
